Method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and method for automatically generating clothing patterns.

Abstract

The present invention relates to a method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and a method for automatically generating clothing patterns. Its primary objective is to provide a method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and a method for automatically generating clothing patterns that are suitable for the body, by simply measuring the angles and lengths of body parts. To achieve the above objectives, a method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and a method for automatically generating clothing patterns are disclosed, which include the steps of: measuring body dimensions by body type from a large number of subjects; creating a standard pattern suitable for each subject, and then measuring pattern element dimensions, which are the dimensions of each part within the standard pattern; statistically analyzing the correlation coefficient between the body dimensions by body type and the pattern element dimensions to derive a regression calculation formula for calculating the dimensions of each part within a target pattern to be completed from the actual body dimensions of clothing consumers; creating an automatic pattern generation program through programming the regression calculation formula and equipping it to a computer; and inputting the actual body dimensions as input variables into the automatic pattern generation program so that a target pattern is automatically generated.

Description

Technical Field

[0001] The present invention relates to a method for measuring body dimensions for ordering and manufacturing non-face-to-face made-to-order clothes, and a method for automatically generating clothing patterns. Specifically, an image is taken using a portable mobile terminal, the taken image is analyzed to measure the user's body dimensions, the angles and lengths of body parts, and using the measured body type information of the user, by providing a clothing pattern suitable for this, it relates to a technology for quickly and accurately automatically generating and providing a clothing pattern suitable for the user's body type non-face-to-face.

Background Art

[0002] Today, the demands of clothing consumers who desire personalized and diverse designs are increasing. In recent years, as the demands of consumers who value the fit of clothes along with the design are increasing, the importance of the fit of clothes in the apparel industry is gradually increasing.

[0003] In order to enhance such clothing fit, in addition to the circumference and length of the body, it is necessary to reflect shape elements considering various body types. In order to produce clothes suitable for an individual's body type, the development of advanced personalization technologies, accurate clothing pattern generation technologies for each individual, etc. are required.

[0004] Also, in the fashion market, the proportion of made-to-order clothes is expected to increase. In the future, in addition to women's clothing, casual wear, and high-end brand clothing, a large growth in the fashion market is expected due to men's made-to-order suits, outdoor wear, sportswear, etc.

[0005] Generally, in order to produce clothes, after making clothing patterns for each part, the fabric is cut using the made clothing patterns, and each cut fabric part is sewn and connected to complete one piece of clothing.

[0006] Therefore, in the bespoke clothing market, creating accurate clothing patterns that fit an individual's body shape based on actual measurements is of paramount importance, and the development of technology that can quickly and accurately create patterns for bespoke clothing is necessary. In particular, when producing 1:1 bespoke clothing, accurately measuring the consumer's body dimensions is of utmost importance.

[0007] Furthermore, when purchasing clothing, if a buyer does not know their exact body measurements, they cannot purchase clothing that fits properly. Even if they know their approximate body measurements, the dimensions indicated on the actual clothing may differ from the consumer's actual body measurements at the time of purchase. Therefore, if a seller does not know the buyer's exact body measurements, they cannot provide clothing that fits properly.

[0008] Therefore, in order to create well-fitting clothing patterns and manufacture garments, and to minimize customer dissatisfaction and return rates due to errors in body measurements, it is necessary to develop technology that can measure body dimensions easily and accurately.

[0009] Traditionally, the method of using a measuring tape has been widely used. When using a measuring tape, it is common to measure the length and circumference of the body with the tape, and then create a clothing pattern based on the measured dimensions before making the garment. However, it is difficult to accurately grasp the shape of the body using only the length and circumference measurements obtained with a measuring tape, making it difficult to create a clothing pattern that fits the body well and thus difficult to satisfy the requirements for clothing fit.

[0010] Furthermore, in the creation of conventional clothing patterns, either the chest circumference was measured using a measuring tape, and then the dimensions of other body parts were calculated proportionally based on that chest circumference to create an average clothing pattern shape (chest measurement method), or various body dimensions were measured one by one, and then the clothing pattern shape was drawn using skilled techniques (short measurement method). These manual methods have been employed.

[0011] However, it goes without saying that this type of pattern making requires the skilled techniques of a specialist, and it takes a long time to create the patterns. In particular, since each person's body shape is different, there is a problem in that clothing patterns are made and used based only on specific dimensions such as chest circumference, resulting in poor clothing fit.

[0012] However, if patterns are created without taking into account that body shape (for example, the angles, thickness, and shape of each body part) differs depending on age and other personal characteristics, there are limitations to producing well-fitting clothing.

[0013] Furthermore, in the case of the neck area of ​​an upper garment, there is little correlation with chest circumference, and especially in the case of a collar sewn around the neck of an upper garment, there is almost no correlation with chest circumference. Therefore, there are limitations to creating a collar pattern that is suitable for an individual's body shape, and problems such as the neckline of the garment becoming wavy or not fitting snugly to the body may arise due to an unsuitable collar shape.

[0014] Furthermore, since there is currently no known technique for determining the appropriate collar shape based solely on various body measurements, the reality is that collar patterns must rely solely on the years of experience of experts.

[0015] Furthermore, while there are methods that deviate from the manual methods described above and use CAD programs for pattern making, these methods facilitate pattern modification and grading work, which involves adjusting basic patterns to body measurements. However, they merely involve inputting existing manual patterns into a computer and digitizing them, and are far from true automation of pattern making.

[0016] Another method, using a 3D scanner, has the advantage of easily acquiring three-dimensional information such as body shape. However, accurately extracting a pattern by converting three-dimensional human body information into two-dimensional flat information is not easy and requires skilled operation of the equipment. Furthermore, the equipment itself is expensive, limiting its use, and the use of expensive equipment may contribute to increased product costs in the production of bespoke clothing (personalized or customized ready-made clothing) and in high-mix, low-volume production. [Overview of the Initiative] [Problems that the invention aims to solve]

[0017] Therefore, the present invention has been made to solve these problems and aims to provide a method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and a method for automatically generating clothing patterns, which can quickly and accurately generate clothing patterns suitable for the body by simply measuring the angles and lengths of body parts.

[0018] Furthermore, the present invention aims to provide a method for measuring body dimensions that allows for easy and accurate measurement of body dimensions on non-facing surfaces when drafting clothing patterns or purchasing clothing.

[0019] Furthermore, the present invention aims to provide a method that allows even non-experts to measure body dimensions through images captured with a portable mobile device, without the need for the skilled techniques of experts or expensive equipment such as 3D scanners, and to automatically generate clothing patterns based on these measurements.

[0020] Furthermore, the present invention aims to provide a method for generating clothing patterns that can contribute to reducing manufacturing costs and inventory by automatically generating a large number of customized patterns, rather than ready-made clothing patterns made to average dimensions, without the need for experts or expensive equipment.

[0021] In particular, the present invention aims to provide a method for automatically generating, rather than manually, an optimal 1:1 customized pattern that fits an individual's body shape, given that body shapes differ depending on age and personal characteristics. [Means for solving the problem]

[0022] The present invention, for achieving the aforementioned objectives, The process involves selecting a large number of subjects and obtaining the actual measurements of each subject by actually measuring the specified body part dimensions; measuring the specified body part dimensions in photographs taken of each subject; performing statistical processing of correlation analysis and regression analysis between the actual measurements of the subjects and the body part dimensions of each subject measured from the photographs to derive a regression formula for calculating the actual body dimensions of clothing consumers from the body dimensions in photographs taken of clothing consumers; and calculating the actual body dimensions of clothing consumers from the body dimensions in photographs taken of clothing consumers based on the regression formula. The method is characterized by including the steps of: creating a measurement program to calculate the dimensions and saving it on a server; taking images of a clothing consumer using a portable mobile terminal to measure their body dimensions, and the mobile terminal transmitting the captured images to the server; the server measuring the dimensions of a predetermined body part from the images taken of the clothing consumer using the measurement program; and inputting the dimensions of the body parts measured from the photograph of the clothing consumer as input variables into the measurement program so that the actual dimensions of each body part of the clothing consumer can be calculated by the measurement program.

[0023] Furthermore, the measured dimensions of the subject are characterized by including the angle of the body part and at least one measurement value of the length, circumference, width, and thickness of the body part, measured in units of length.

[0024] In addition, in the step of measuring the dimensions of each body part from the photographs of each subject and the clothing consumer, after photographing the subject and the clothing consumer together with a size measurement member made of a standard product, the dimensions of each body part are measured in proportion to the dimensions of the photographed size measurement member.

[0025] Also, it is characterized in that a plurality of photographs are taken by changing the direction in which the subject and the clothing consumer are standing by a certain angle with the size measurement member as the background.

[0026] Furthermore, it is characterized in that the direction in which the subject and the clothing consumer are standing is changed by 45° each time, and a total of 8-direction photographs including the front and back, left and right sides of the subject are taken.

[0027] Also, for each subject and clothing consumer, the shooting distance is changed at a predetermined distance for each direction, and a plurality of photographs with different shooting distances are taken. The unit of change of the shooting distance is the length of the size measurement members arranged in one or more in one direction.

[0028] In addition, when deriving a regression calculation formula for calculating the actual dimensions of each body part of the clothing consumer from the dimensions of the body parts in the photograph taken of the clothing consumer, by performing statistical analysis for each shooting distance, a plurality of regression calculation formulas divided by the shooting distance for each body part are derived, and the regression calculation formula corresponding to the shooting distance at the time of photographing the clothing consumer is selected and used to calculate the actual dimensions of the clothing consumer.

[0029] Also, the body part of the subject where the actual measured dimensions of the subject are measured and the body part where the dimensions are measured from the photograph of the subject are defined as the same body part.

[0030] Furthermore, in the process of performing the statistical processing of the correlation analysis and regression analysis, the correlation between the actual measurement data of each subject obtained for each subject and the body part measurement data of each subject measured from the photographs is analyzed, and after extracting the body measurement items on the photographs that have a correlation with the actual measurement data of the subjects, the regression calculation formula is derived by performing a regression analysis with the body measurement items on the photographs that have a correlation with the actual measurement data of the subjects as independent variables.

[0031] Furthermore, the regression calculation formula is characterized in that it is a regression formula in which the actual dimensions of other body parts of the clothing consumer, which were calculated earlier, are used as variables, along with the dimensions of the body parts measured from the clothing consumer's photograph.

[0032] Furthermore, the method further includes the steps of: creating standard patterns that fit the body shape of each of the numerous subjects; measuring pattern element dimensions, which are the dimensions of specified parts within each standard pattern; performing statistical processing of correlation analysis and regression analysis between the body dimensions for each body type and the pattern element dimensions to derive a regression calculation formula for calculating the dimensions of each part within a target pattern from the dimensions of body parts measured for clothing consumers; calculating the dimensions of each part within a target pattern from the dimensions of body parts of clothing consumers obtained from photographs taken of clothing consumers based on the regression calculation formula, and creating an automatic pattern generation program that generates a target pattern using the calculated dimensions of each part, and saving it to a server; the server inputting the dimensions of body parts measured for clothing consumers as input variables into the automatic pattern generation program, and having the automatic pattern generation program automatically generate a target pattern for the clothing consumer; and providing the automatically generated target pattern for the consumer to the mobile terminal of the clothing consumer or the clothing manufacturer.

[0033] Furthermore, the body dimensions measured for the aforementioned clothing consumer are characterized by including the angle of a body part and at least one measurement of the length, circumference, width, and thickness of a body part, measured in units of length.

[0034] Furthermore, in the step of obtaining body dimensions by body type, a human body model is created that replicates the body of each subject, and the body dimensions of each body part are measured using each human body model to obtain body dimensions by body type.

[0035] Furthermore, the anatomical model is characterized by being produced by applying plaster to the body of each subject, allowing it to solidify, then removing it to create a plaster mold, applying a release agent and liquid resin to the inner surface of the prepared plaster mold, and then separating the liquid resin after it has hardened.

[0036] Furthermore, the anatomical model is characterized by being made of fiber-reinforced plastic.

[0037] Furthermore, the step of obtaining body dimensions for each body type is characterized by taking photographs of each anatomical model together with the size measuring member, and then measuring the dimensions of each body part in proportion to the size measuring member in the photographs taken.

[0038] Furthermore, when creating standard patterns that fit the body shape of each subject, the method is characterized by using the aforementioned anatomical models to create standard patterns that fit the body shape of the anatomical models.

[0039] Furthermore, the dimensions of the pattern elements are characterized by being angle and length measurements taken with respect to a defined part within the standard pattern.

[0040] Furthermore, in the process of performing the statistical processing of the correlation analysis and regression analysis, the correlation between body type-specific body dimension data and pattern element dimension data is analyzed using both variables, body type-specific body dimension items that have a correlation with the pattern element dimensions are extracted, and then the regression calculation formula is derived by performing a regression analysis with the body type-specific body dimension items that have a correlation with the pattern element dimensions as independent variables.

[0041] Furthermore, the regression calculation formula is characterized in that it is a regression formula in which at least one of the following variables is used: the dimensions of body parts measured for the clothing consumer, the dimensions of other parts calculated in advance for the target pattern, the dimensions pre-set and input for specific parts within the target pattern, and the dimensions calculated in advance for other target patterns that together constitute a clothing pattern for making one garment.

[0042] Furthermore, the automatic pattern generation program is characterized in that, for curved portions within the target pattern, the Hermite curve drawing method is used, which utilizes the distance between two points at both ends of the curved portion and the angle between those two points.

[0043] Furthermore, the body parts of the subject whose actual dimensions are measured, and the body parts whose dimensions are measured from the subject's photographs, are characterized in that they are designated as body parts whose dimensions are required when drafting clothing patterns. [Effects of the Invention]

[0044] The body measurement method for ordering and manufacturing non-face-to-face custom-made clothing, and the automatic pattern generation method for clothing according to the present invention, provide the following effects.

[0045] (1) Body dimensions can be easily and accurately measured simply by taking photographs. For example, when drafting clothing patterns or purchasing clothing, clothing consumers can easily and accurately measure the necessary body dimensions simply by taking pictures of their bodies (increased convenience of measurement). In this case, after clothing consumers take pictures of their bodies with the camera of a smart device (smartphone, tablet PC, etc.) or a digital camera and send the pictures, a computer with a measurement program installed can accurately calculate the dimensions of each body part of the clothing consumer, which can then be applied to drafting clothing patterns, etc.

[0046] (2) In both the ready-made and made-to-order clothing markets, it is possible to accurately measure the body dimensions of clothing consumers, thereby providing them with clothing that fits them well and increasing their satisfaction with clothing. In particular, even if consumers do not know their exact body dimensions, or if they are unsure about choosing a size when purchasing clothing because the size standards differ from one apparel brand to another, clothing consumers can be provided with clothing that is suitable for their body dimensions.

[0047] (3) Clothing consumers can purchase clothing that reflects their accurate body measurements, thus reducing the return rate.

[0048] (4) Without requiring the skilled techniques of experts or expensive equipment such as 3D scanners, non-experts can measure body dimensions remotely through images taken with a portable mobile device, and based on these measurements, clothing patterns suitable for the measured body can be quickly and accurately automatically generated.

[0049] (5) By automatically generating a large number of customized patterns for ready-made clothing that are not based on average dimensions, without the need for experts or expensive equipment, it becomes possible to reduce manufacturing costs and inventory.

[0050] (6) In particular, it will be possible to automatically generate, rather than manually, optimal 1:1 customized patterns that reflect body shape according to age and personal characteristics to fit an individual's body shape.

[0051] (7) In the bespoke or ready-made clothing market, it is possible to produce 1:1 bespoke clothing with a high level of body fit satisfaction within a short production period, to produce clothing that satisfies the level of bespoke clothing fit, and without the hassle of existing bespoke clothing production, such as the troublesome fitting (basting) performed for 1:1 body fit, it is possible to reduce manufacturing costs by reducing man-hours and make it possible to offer bespoke clothing at the price of ready-made clothing.

[0052] (8) Small businesses in the customized pattern market will also be able to produce high-quality bespoke clothing. [Brief explanation of the drawing]

[0053] [Figure 1] This figure shows an example of taking a photograph by changing the direction according to the present invention. [Figure 2] This figure shows an example of a step stool for photography according to the present invention. [Figure 3] This diagram shows a scaled background plate and a step stool together for photography according to the present invention. [Figure 4] This figure shows the actual measurement site of the subject and the measurement site in the photograph in the present invention. [Figure 5] This figure shows the angles of different body parts measured by the subject in the present invention, and the angles of different body parts measured in photographs. [Figure 6] This diagram illustrates how the dimensions of different body parts vary depending on the direction of the photograph in the present invention. [Figure 7] This diagram illustrates how the dimensions of different body parts vary depending on the direction of the photograph in the present invention. [Figure 8] This figure illustrates an example of the input screen for the measurement program in the present invention. [Figure 9] This diagram shows the characteristics of body types and clothing patterns according to age. [Figure 10] This is a diagram illustrating a method of photogrammetry using a human anatomical model. [Figure 11] This diagram shows the process of three-dimensional cutting of the upper body using a human anatomical model. [Figure 12] This figure shows an example of a standard pattern obtained by three-dimensional cutting using a human anatomical model. [Figure 13] This figure shows an example of a standard pattern obtained by three-dimensional cutting using a human anatomical model. [Figure 14] This diagram shows the names of the different parts of a shirt collar. [Figure 15] This diagram shows the names of the different parts of a shirt collar. [Figure 16]This diagram shows the names of the different parts in a collar pattern used for making shirt collars. [Figure 17] This figure shows the measurement points of the standard pattern obtained by three-dimensional cutting from each human body model in the present invention. [Figure 18] This figure shows the measurement points of the standard pattern obtained by three-dimensional cutting from each human body model in the present invention. [Figure 19] This figure shows the measurement locations of actual body dimensions, which are input variables for the automatic pattern generation program in the present invention. [Figure 20] This figure shows the measurement locations of actual body dimensions, which are input variables for the automatic pattern generation program in the present invention. [Figure 21] This figure shows the measurement locations of actual body dimensions, which are input variables for the automatic pattern generation program in the present invention. [Figure 22] This figure shows the measurement locations of actual body dimensions, which are input variables for the automatic pattern generation program in the present invention. [Figure 23] This figure shows the measurement locations of actual body dimensions, which are input variables for the automatic pattern generation program in the present invention. [Figure 24] This figure shows the main variables used to calculate the trimming dimensions of the collar pattern in the present invention. [Figure 25] This figure shows an example of photometric measurement according to the present invention. [Figure 26] This figure illustrates the input screen of the automatic pattern generation program according to the present invention. [Modes for carrying out the invention]

[0054] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings, so that those with ordinary skill in the art to which the present invention pertains can easily implement them.

[0055] This invention provides a method for easily and accurately measuring body dimensions using a portable mobile device such as a smartphone when drafting clothing patterns or purchasing clothing, and further provides a method for automatically generating and providing clothing patterns based on the measured body dimensions.

[0056] To this end, the present invention provides a method for deriving accurate body dimensions solely from photographs, and utilizes a pre-generated measurement program that can accurately calculate the actual body dimensions of a person in a photograph using the body dimensions obtained from the photograph.

[0057] Here, the person in the photograph refers to a clothing consumer who intends to make or purchase their own clothing, assuming that the final measured body dimensions will be used for drafting clothing patterns or purchasing clothing.

[0058] First, a body measurement program is created through preliminary work and statistical analysis in order to install it on a server or mobile device. The process for creating such a measurement program is as follows:

[0059] To create the measurement program, a large number of subjects of various ages and body types, or an unspecified group of subjects, are selected and their body dimensions, namely the angles and lengths of each body part (including the circumference, width, thickness, etc. of the body part measured in units of length), are measured and obtained from these numerous subjects.

[0060] Next, in this specification, the physical item data obtained from subjects for the production of measurement programs, namely the body dimensions (body angles and length information) of each defined body part, will be referred to as "the subject's actual measured dimensions."

[0061] The actual dimensions of the subjects necessary for creating the measurement program, which is a prior step of the present invention, can be obtained by measuring each subject using a measuring tape, protractor, or the like.

[0062] Next, a photograph of the subject is taken together with a size measuring member made of a standard product. Here, the size measuring member may be any known product made of a standard product, preferably readily available A4 paper. In one embodiment of the present invention, for more accurate measurement, the size measuring member may be a graduated background plate with a grid-like scale (for example, a scale with 5 cm intervals vertically and horizontally).

[0063] In this step, the size measuring member is preferably attached to a wall located behind the subject near the subject, and photographs are taken sequentially with the subject standing in front of the size measuring member. For each subject, the direction in which the subject is standing with the size measuring member as the background is changed by a certain angle each time, and photographs are taken from each direction.

[0064] For example, as shown in Figures 1a to 1h, the subject is positioned facing forward in front of the size measuring components and photographed. Then, the subject's orientation is changed sequentially by 45 degrees at a time, and a photograph is taken for each orientation. In this case, the size measuring components can be arranged in a predetermined position at the subject's feet to make orientation easy to recognize. For example, multiple A4 sheets of paper can be arranged, or the A4 sheets can be folded to guide the subject towards the correct orientation.

[0065] Furthermore, as shown in Figure 2, a step stool with eight directions displayed can be used. The subject steps onto the step stool and changes their viewing direction by 45° increments along the directions displayed on the stool, taking photographs of each direction while standing in the correct posture. This allows for a total of eight photographs to be obtained for each subject, including the front, back, left and right sides.

[0066] Furthermore, when photographing subjects in this manner, the shooting distance is changed for each subject and direction to take photographs at different distances. For example, to determine the distortion of photographs taken at close range, the shooting distance is changed by a predetermined distance (e.g., 1m) from a minimum of 3m to 10m, and photographs are taken at different distances. In this case, the unit of change in the shooting distance may be set by a size measuring member arranged in one or more directions.

[0067] In addition, the system records measurement information of the photograph, such as the position of the size measuring element, the direction the user is standing, and the shooting distance, for each photograph taken.

[0068] Figure 3 shows one embodiment in which a graduated background plate and a step stool are used as size measuring members when taking photographs. The dimensions (spacing of the scale) of the graduated background plate are not particularly limited, and the step stool is also not particularly limited as long as it can point the subject in a direction. Furthermore, in this embodiment, the angle of change of direction when taking photographs in the present invention is not limited to 45°. Figure 2 shows an example of a step stool made by illustrating straight lines at 45° intervals radially from the center so that the direction can be changed in 45° increments.

[0069] On the other hand, body dimensions (body angles and length information) are measured for each designated part of the subject in each photograph taken at different distances and directions. At this time, the body parts measured in the photographs are the same as the parts of the subject that have actually been measured (the subject's actual measured parts). Both the body parts measured in the photographs and the subject's actual measured parts can be determined as body parts necessary when drafting clothing patterns.

[0070] To measure body dimensions in a photograph, one can use a well-known image (photo) editing program such as Photoshop (Adobe Photoshop). Assuming that the scale dimensions are the same for all photographs taken at the same distance, the length (distance) between the two measurement points of each body part and the angle (angle between the two lines) of the body part can be determined using the functions provided by the image editing program.

[0071] As described above, by performing length measurements using a tape measure and angle measurements using a protractor on each body part of the subject, various measurement points can be predetermined when obtaining individual body part dimensions (actual measurements of the subject) and when obtaining individual body dimensions on photographs. Each measurement point may be determined as a body part for which dimensions are needed when drafting clothing patterns. In this case, many measurement points can be determined in order to draft clothing patterns that are suitable for the body.

[0072] Figure 4 is an example of the actual body parts of a subject and the body parts measured in a photograph in the present invention. In cases where the actual dimensions of a subject are obtained by measuring each body part of the subject, and in cases where the body dimensions of a subject in a photograph are obtained by measuring each body part of the subject in each direction, the same body parts can be defined as the body parts in which the dimensions are measured.

[0073] Furthermore, as will be described later, when photographing the body of a clothing consumer and obtaining the final body dimensions from the photograph, the body measurement points on the consumer in the photograph and the target final measurement points may be defined as the same points. In this case, the body measurement points may all be body parts necessary when drafting the clothing pattern.

[0074] Figure 5 is a diagram showing the angles of body parts measured by the subject in the present invention and the angles of body parts measured in photographs. When clothing is placed on a consumer's body and the final body dimensions are obtained from the photographs, the angles of the consumer's body parts measured in the photographs, and the actual angles of the consumer's body parts, which are the final measured values ​​obtained from the calculation formula, may also be the angles shown in Figure 5.

[0075] Once the subject's body dimensions are determined from the photograph, a calculation formula is derived that allows for the calculation of actual body dimensions from the photograph's body dimensions using the subject's body dimensions for each part in the photograph and the subject's actual measured dimensions. This calculation formula is then programmed to complete the measurement program.

[0076] Here, the calculation formula is used to determine the actual body dimensions of clothing consumers who intend to manufacture or purchase clothing, using photographs taken of them and the body dimensions in those photographs.

[0077] The process of deriving a formula for calculating actual body dimensions from body dimensions in photographs will be described in detail below. For each subject, statistical analysis such as correlation analysis and regression analysis will be performed for each shooting distance on the body dimension data for each part of the photograph, corresponding to the previously determined shooting distance and direction, and the subject's actual measurement data. By doing so, a formula defining the relationship between body dimensions in photographs and actual measurement data will be derived for each shooting distance.

[0078] Incidentally, assuming that the body dimensions in the photographs are measured for predetermined body parts in each photograph taken from different directions (Figures 1a to 1h), even for the same body part, the dimensions shown differ depending on the shooting direction, as shown in Figures 1a to 1h. Therefore, by classifying the shooting direction, all body part dimensions in each photograph taken from different directions become subject to statistical analysis.

[0079] In other words, as shown in Figures 6 and 7, the dimensions of each protruding part of the human body, for example, the scapula as the reference point as shown in Figure 7, differ depending on the direction of photography, even for the same part. Therefore, the directional dimensions (each dimension measured in photographs taken from different directions) for the same part should all be considered as a single factor in statistical analysis.

[0080] Figure 6 illustrates various dimensions of different parts of the chest area in the subject's photograph, and Figure 7 illustrates various dimensions of different parts of the shoulder blade area.

[0081] The aforementioned correlation analysis aims to extract photographic physical factors that influence the dimensions of specific body parts of a subject. It analyzes the correlation between two variables: actual measurement data of each body part of the subject and measurement data of each body part in the photograph according to the shooting direction (physical dimensions in the photograph). This analysis extracts photographic physical dimension items that influence the actual measurement dimensions of specific body parts of the subject, i.e., photographic physical dimension items that have a high correlation with the actual measurement dimensions of each subject.

[0082] Next, a regression analysis is performed to determine the correlation between the measured dimensions of each subject and the body dimensions data for each part of the body in the photographs, based on the results of the correlation analysis. Specifically, a regression analysis is conducted using multiple body dimension items in the photographs that have high correlation coefficients with the measured dimensions of each body part of the subject as independent variables, thereby obtaining a regression equation to calculate the actual dimensions of each body part of a clothing consumer from photographs taken of that clothing consumer.

[0083] Such body part-specific regression equations are used to calculate the actual body dimensions of clothing consumers from the body dimensions in photographs of them. Even for the same body part, multiple calculation equations can be obtained depending on the distance at which the image was taken.

[0084] Furthermore, the variables in the calculation formula for determining the actual body dimensions of clothing consumers by body part (which can be determined individually depending on the shooting distance) include various body part dimensions in photographs taken from different directions of clothing consumers.

[0085] In this case, in the individual calculation formulas used to calculate the dimensions of each body part of an actual clothing consumer, the variables may be the dimensions on the photograph obtained by measuring the body parts of the clothing consumer in the photograph, but in addition to those dimensions on the photograph, the actual body dimensions of other parts of the consumer calculated earlier may also be used as variables in the calculation formula.

[0086] In other words, once the actual dimensions of one part of a clothing consumer are determined, these previously determined dimensions are used as variables to determine the actual dimensions of other parts of the clothing consumer using the calculation formula for those parts.

[0087] Thus, the formulas for calculating the dimensions of each body part of the clothing consumer are derived using regression equations with the dimensions of each body part in the clothing consumer's photograph, or the actual dimensions of other body parts of the clothing consumer calculated earlier, as variables. These formulas are then used to calculate the actual body dimensions from the body dimensions in the photograph.

[0088] Table 1 below shows an example of a calculation formula, which uses a multiple regression equation obtained through regression analysis as the calculation formula. It shows an example of a calculation formula that uses various body dimension variables for different parts of a photograph taken of a clothing consumer so that the waist circumference, which is the actual measurement of the clothing consumer, can be calculated.

[0089] [Table 1]

[0090] Although not all of the variables in the calculation formula are shown in the diagram, B1 and B2 are examples of variables, as shown in Figure 4, which are peripheral body dimensions in photographs taken of clothing consumers, based on the protruding part of the scapula.

[0091] In this way, the measured dimensions of other parts of a photograph can be used as variables in the calculation formula to determine the actual dimensions of a specific body part of a clothing consumer.

[0092] The formula for calculating waist circumference shown in Table 1 was derived using only variables taken from frontal photographs of clothing consumers, as shown in Figure 1a. In this case, a formula (multiple regression equation) with a high contribution rate of 90.8% was derived. If additional variables taken from various photographs from different directions (body dimensions in the photographs) were used, a formula with an even higher contribution rate should be derived and used.

[0093] Next, once statistical analysis has determined calculation formulas for each body part to calculate actual body dimensions from the body dimensions in the photograph—for example, if a multiple regression equation like the one in Table 1 is obtained—the multiple regression equation is programmed to create a measurement program, which is then stored on a server or computer.

[0094] The calculation formula used in the measurement program is a multiple regression equation, which is obtained through statistical analysis performed at different distances. In actual use, when photographing clothing consumers, the multiple regression equation corresponding to the shooting distance is selected and used to calculate the actual body dimensions.

[0095] As described above, once a computer is equipped with a measurement program, this program can be used to accurately measure the body dimensions of a customer who requires body measurements, simply by having the customer take a photograph with a portable mobile device or similar device.

[0096] Here, "consumer" must be interpreted in a comprehensive sense, meaning any person who requires accurate body measurements; however, in cases where the final measured body dimensions are used for drafting clothing patterns or purchasing clothing, the consumer is a clothing consumer who intends to make or purchase their own clothing.

[0097] As the body measurements of the consumer ultimately obtained by this invention can be used in a variety of ways, in addition to for drafting clothing patterns and purchasing clothing, the invention does not limit the consumer to clothing consumers, however, in the following explanation, clothing consumers will be used as an example.

[0098] First, clothing consumers who require body measurements are instructed to take a photograph using an application installed on a portable mobile device, preferably instructed to take the photograph together with a size measuring component. Therefore, the clothing consumer takes a photograph of themselves together with the size measuring component, and at this time, the mobile device transmits the photograph to a server or computer where the measurement program is stored using a communication network.

[0099] In this case, the size measuring member may be a standard product readily available from the surrounding area, or a product provided to consumers in advance by the clothing retailer or manufacturer. Furthermore, it is preferable to take photographs by installing a pre-made application on a portable mobile terminal and taking pictures directly with the camera provided on the mobile terminal, and the acquired photographs are transmitted via a communication network to a server or a computer on which the program is installed.

[0100] Furthermore, consumers can be guided to take photos in all of the specified directions (for example, eight directions at 45° angles), and in this case, they can be guided to recognize the shooting angle using the size measuring member. For example, if the size measuring member is made of A4 paper, the application can guide consumers to fold the A4 paper in one direction so that they can take photos while standing facing the specified direction. Consumers can also be guided to take photos at a specified distance, for example, a distance of 3m to 10m, and in this case as well, by arranging multiple size measuring members in a line, they can be guided to recognize a predetermined unit of distance. When taking photos, a portable mobile device, such as a smart device (smartphone or tablet PC, etc.), can be used, but it is not limited to this; any shooting means capable of taking images consisting of digital images, such as a digital camera, can be used.

[0101] Furthermore, the height of the center of the camera lens when taking photographs varies depending on the apparel item being photographed. For example, if the apparel item desired by the clothing consumer is a full-body item, it is preferable to set the height of the center of the camera lens to the height of the clothing consumer's waist. For upper body items, it is preferable to set it to the height of the chest, and for lower body items, it is preferable to set it to the height of the hips.

[0102] The photographs taken in this manner are sent to a server or computer with a measurement program installed and used to calculate body dimensions. However, if the photographs are taken remotely using a smart device, it is possible to immediately send the photographs taken with the smart device to the server or computer for input using an online transmission method.

[0103] When photographs of consumers are obtained in this manner, it may be necessary to adjust the size of the photograph. In such cases, a pre-processing step can be carried out to scale up or down the size of the photograph to the actual size using a size measuring element on the photograph.

[0104] In other words, considering that consumers can take photographs in a variety of sizes, the photographs taken may have non-standardized sizes. Therefore, the photographs necessary for dimensional measurement are obtained by scaling up or down the size of the photograph so that the size measuring elements on the photograph become standard sizes.

[0105] Such adjustments to the photo size can be performed using a separate image editing program, and the dimensions (angles and lengths) of each body part in the photograph can also be determined using that program.

[0106] In this case, the body parts whose angles and lengths are measured in the photograph are the same body parts shown in Figure 4, that is, the same body parts that were measured earlier to derive the calculation formula.

[0107] In other words, by inputting the body dimensions obtained from the photograph as variables into the measurement program, as shown in Figure 8, the actual dimensions of each body part of the consumer can be calculated using the regression equation within the measurement program. Figure 8 shows the input screen when trying to determine the waist circumference (WL) using the body dimensions from a photograph of a clothing consumer as variables.

[0108] Furthermore, when taking photographs, clothing consumers take pictures at a distance corresponding to the predetermined shooting distance applied when deriving the calculation formula. However, the measurement program may be designed to include calculation regression formulas for various shooting distances (distances defined at predetermined intervals). In this case, when the distance at which the photograph is taken by the consumer is input as a variable, the calculation formula corresponding to the input shooting distance is selected and made available for use in all distance-specific calculation formulas.

[0109] On the other hand, as described above, the present invention is designed to quickly and accurately automatically generate and provide clothing patterns suitable for the body by simply measuring the angles and lengths of body parts through photographs taken using a mobile device, without the need for the skilled techniques of experts or expensive equipment.

[0110] In light of the fact that body shapes differ depending on age and personal characteristics, this invention can automatically generate a 1:1 customized pattern that is optimal for an individual's body shape, rather than requiring manual work.

[0111] For this purpose, the present invention uses an automatic pattern generation program that, when body angle and length measurements taken for specified body parts of a clothing consumer are input, calculates the dimensions of each part of the pattern for the garment to be completed, and automatically generates the pattern for the garment using the calculated dimensions of each part.

[0112] The aforementioned automatic pattern generation program derives a calculation formula that can calculate the dimensions of each part of the target pattern to be completed by performing statistical processing such as correlation analysis and regression analysis on body dimensions (body angles and length measurements) obtained from a large number of selected subjects and the dimensions of each part of a standard pattern made to fit each subject, and then programs the calculation formula to complete the program.

[0113] Next, the present invention will be described in more detail.

[0114] First, the present invention provides a method for automatically generating clothing patterns suitable for the body through simple measurement and input of dimensions, and includes the process of creating and equipping a computer with an automatic pattern generation program that automatically generates clothing patterns when dimensions are input.

[0115] The inventors, recognizing that body shape differs depending on age and other personal characteristics, including the angles of various body parts, and that such body shape significantly influences clothing patterns, have researched methods for creating clothing patterns according to body shape. Through diligent research, they have discovered that the angles and lengths of specific body parts correlate with the dimensions in clothing patterns. Through their research on body shape factors that influence clothing patterns, they have learned that by creating clothing patterns that reflect body shape factors, it is possible to generate clothing patterns that are suitable for a particular body shape.

[0116] Figure 9 shows the characteristics of body shape and patterns according to age, and indicates the angles of each body part, namely the anterior neck inclination angle (a), posterior neck inclination angle (b), upper anterior chest inclination angle (c), upper body midline inclination angle (d), upper body inclination angle (e), and upper body axis inclination angle (f).

[0117] As shown in the diagram, when comparing upper bodies, the angles of each body part change with age, and changes in body shape occur, such as the upper body becoming thicker. As a result, the clothing patterns necessary for garment making must change according to age and body shape, and the collar pattern that should be drawn from the clothing pattern for the neck must also change.

[0118] In other words, clothing patterns must change according to body shape information such as the angles of body parts, and in order to improve the fit of clothing, it is necessary to use not only the length of each body part but also information about the angles of body parts when creating clothing patterns for the garment in question.

[0119] As a result of statistically analyzing the angles and lengths of body parts measured from a large number of subjects and the dimensions of each part of a suitable clothing pattern (standard pattern) taken from each subject, the inventors discovered that there are specific angles and lengths of body parts that influence clothing patterns. They then derived a calculation formula that can calculate the dimensions of each part of a pattern from these body type factors, and completed the present invention by programming this formula into an automatic pattern generation program.

[0120] To explain the production process of such an automated pattern generation program in more detail, it involves selecting subjects of various ages and body types, or an unspecified number of subjects, and obtaining body measurements of each part from these selected subjects.

[0121] Hereinafter, in this specification, the body item data obtained from subjects for the production of the automatic pattern generation program, namely the body dimensions (body angles and length information) of each defined body part, will be referred to as body dimensions by body type.

[0122] The body dimensions for each body type necessary for creating the automatic pattern generation program, which is a prior step of the present invention, may be obtained by directly measuring the actual body of the subject. However, it is preferable to create a human body model that is an exact copy of each subject's body, and to obtain the body dimensions for each body type by measuring the angles and lengths (including the circumference, width, thickness, etc. of a defined body part, measured in units of length) of each body part from each human body model.

[0123] Directly measuring the bodies of actual subjects is time-consuming and costly due to the need for repeated experiments to ensure accuracy, and has the disadvantages of physical fatigue and inconsistent postures among subjects due to repeated experiments. To compensate for these drawbacks, anatomical models of each subject are manufactured and used.

[0124] In the process of creating anatomical models, plaster is applied to each subject's body, allowed to harden, and then removed to create a plaster mold. A release agent and liquid resin are then sequentially applied to the inside surface of the plaster mold, and after the liquid phase resin hardens, it is separated to complete the anatomical model.

[0125] Fiber-reinforced plastic (FRP), more preferably glass fiber-reinforced plastic (Glass FRP, GFRP), can be used as the material for such anatomical models.

[0126] As described above, once a human body model is created for each subject, the body dimensions specific to each body type, that is, the angles and lengths of each designated body part of the human body model (including the circumference, width, thickness, etc. of the designated body part, measured in units of length), are measured using a measuring tape and protractor.

[0127] Here, in addition to a measuring tape and protractor, a photogrammetry method may also be used. Figure 10 is a diagram illustrating the photogrammetry method, in which, as shown in the figure, the front, side, and back of a human body model are photographed against a graduated background plate with a grid-like scale, and then the angles and lengths of each body part are measured using the scale displayed in the photographs.

[0128] Of course, it is possible to use both tape measure and image measurement, and in addition, a measurement method that further combines these with an angle meter (such as a horizontal angle meter) for measuring inclination angles, etc., can also be applied.

[0129] Next, three-dimensional pattern making is performed on each anatomical model using bleached cotton to obtain patterns suitable for the body shape of the model, ultimately resulting in the creation of anatomical-fit patterns for each model that are laid out on a flat surface.

[0130] Figure 11 shows the process of three-dimensional cutting of the upper body for a human body model. By performing three-dimensional cutting suitable for the body shape of the human body model using bleached cotton or similar material, a pattern that can be laid out on a flat surface is obtained.

[0131] Once the anthropometric patterns for each model are obtained as described above, the dimensions such as the length and angle of each part of the pattern are measured and obtained.

[0132] As shown in Figure 11, in the case of three-dimensional pattern making for the upper body, the collar is made and patterns for both the upper body bodice and the collar are taken. The dimensions of each part, such as length and angle, are then measured based on the patterns for the bodice and collar that were taken in this way.

[0133] Of course, the body patterns and collar patterns are measured using predetermined body parts, without any differences between anatomical models.

[0134] Also, in the case of collar patterns, the dimensions of several specific parts (for example, Figure 15) The TIFF2026515022000003.tif22153 item allows for the creation of multiple collar patterns for each anatomical model, with the dimensions of other parts altered proportionally while keeping the anatomical model fixed. The dimensions of the same parts are measured for each of the multiple collar patterns.

[0135] In this specification, for the sake of clarity, the anatomical patterns obtained by three-dimensional cutting of bleached cotton using anatomical models for each model will be referred to as standard patterns, and the dimensions of each body part measured using the standard patterns made to fit each subject (anatomical model) will be referred to as the pattern element dimensions of the garment pattern.

[0136] Figures 12 and 13 show examples of standard patterns obtained by three-dimensional cutting using a human body model, namely, patterns for the bodice and collar of the upper body. The bodice pattern in Figure 12 is the pattern taken from the human body models in Figures 10(a), (b), and (c), respectively, and the collar pattern in Figure 13 is the pattern taken from the human body models in Figures 11(a), (b), and (c), respectively.

[0137] Referring to Figure 13, it can be seen that the dimension represented by k9, i.e., the rounded-up dimension, varies greatly depending on the upper body shape. The rounded-up dimension of the collar in clothing is a dimension that defines the curve that is joined to the neck area of ​​the bodice, and is an important dimension along with the neck circumference in clothing, but it is a dimension that is difficult to predict when drawing a collar pattern.

[0138] In particular, when creating a collar pattern, if rounded-off dimensions are applied without considering body shape, problems will arise such as the collar shape of the finished garment not naturally aligning with the body, or the garment becoming wavy around the neck or not fitting snugly to the body when worn.

[0139] Therefore, when creating a collar pattern, it is important to calculate the rounded-up dimensions that reflect the upper body shape of the garment consumer (wearer).

[0140] For reference, Figures 14 and 15 are diagrams showing the names of the parts of a shirt collar for ease of understanding, and Figure 16 is a diagram showing the names of the parts of a collar pattern for making a shirt collar.

[0141] Furthermore, Figures 17 and 18 illustrate the measurement points of the standard patterns taken from each anatomical model by three-dimensional cutting. Figure 17 shows the standard patterns for the front and back of the upper body, and Figure 18 shows the standard pattern for the collar.

[0142] As shown in Figures 17 and 18, the angles and lengths of each measurement point defined in the standard pattern are measured to obtain the pattern element dimensions. These pattern element dimensions are then used, along with body dimensions for each body type measured on a human body model, to derive a calculation formula (regression formula), as will be described later.

[0143] The measurement locations on the standard pattern shown in Figures 17 and 18, that is, the measurement locations where the dimensions of the pattern elements on the standard pattern are obtained, are merely examples, and the present invention is not limited thereto.

[0144] On the other hand, physical parameter data obtained from the subjects, namely body dimensions for each body type measured on each anatomical model of the subject, and pattern element dimensions obtained from each standard pattern, are analyzed to derive a calculation formula for determining the dimensions of the target pattern at each position from the measured body dimensions.

[0145] Hereinafter, the "target pattern" in this invention refers to a clothing pattern necessary for producing clothing for a clothing consumer, that is, a clothing pattern that is the final target of production in this invention. Such a target pattern is made to reflect the body shape of the clothing consumer, and this target pattern is used to produce the final clothing desired by the actual clothing consumer.

[0146] In this invention, when the necessary variables are input into an automatic pattern generation program on a computer, the automatic pattern generation program will draw and automatically generate the target pattern based on the input variables.

[0147] Furthermore, the actual measured body dimensions in this invention refer to body dimensions obtained by actually measuring a person's body parts in order to produce clothing desired by a clothing consumer. In this invention, these refer to body dimensions such as angles and lengths (measured in units of length, including the circumference, width, thickness, etc. of the specified body parts) obtained by measuring a designated body part of the clothing consumer in order to produce a target pattern.

[0148] In the following explanation, the "dimensions for garment pattern making" refer to the dimensions of each part of the pattern necessary for creating the target pattern. These dimensions are calculated using a formula within the automatic pattern generation program, based on the measured body dimensions as input. The automatic pattern generation program then uses these calculated dimensions to create and generate the target pattern necessary for the actual garment production.

[0149] The process of deriving the calculation formula for determining the dimensions of the target pattern at different positions will be detailed below. By performing statistical analysis such as correlation analysis and regression analysis on the previously obtained body type-specific body dimension data and pattern element dimension data, the aforementioned calculation formula that defines the relationship between the body type of the subject (human body model) and the shape of the clothing pattern will be derived.

[0150] Here, correlation analysis is performed to understand the characteristics of the neck, shoulders, etc., of subjects (human models) of different body types, which are obtained as body dimensions by body type, and to extract body factors that influence the shape of the pattern. The correlation between the previously obtained body dimension data by body type and the pattern element dimension data is analyzed, and body type factors that influence the pattern element dimensions, i.e., body dimension items by body type that have a high correlation with specific pattern element dimensions, are extracted.

[0151] Next, based on the results of the correlation analysis, a regression analysis is performed to determine the correlation between body type-specific body dimension data and pattern element dimension data to derive a calculation formula. As a result of the correlation analysis, a regression analysis is performed with multiple body type-specific body dimension items that have a high correlation coefficient with the pattern element dimensions as independent variables. This allows for the determination of regression formulas for each part of the target pattern, i.e., the element dimensions for making each part of the pattern.

[0152] The aforementioned regression equation is used as a calculation formula to determine the dimensions of each pattern part necessary for creating the target pattern, and the variables in each calculation formula for determining the dimensions of each pattern part include actual body dimensions measured from clothing consumers.

[0153] In this case, in the individual calculation formulas used to calculate the dimensions of each pattern part within the target pattern, the variables may be limited to actual body dimensions obtained by measuring the body parts of the clothing consumer. However, in addition to actual body dimensions, the dimensions of other parts of the target pattern calculated earlier, or dimensions pre-set and entered for specific parts within the target pattern, or dimensions of other patterns calculated earlier (for example, if the target pattern is a collar pattern, the dimensions of parts with a high correlation in other body patterns made earlier) may also be used as additional variables in the calculation formulas.

[0154] In other words, it involves deriving and applying a calculation formula that uses, in addition to the actual measured body dimensions, the dimensions of other parts within the target pattern that are previously calculated or arbitrarily set, or the dimensions of other patterns that have been previously calculated, as variables.

[0155] For example, in addition to actual body measurements, dimensions of other parts within the collar pattern that have been previously determined from other calculation formulas may be used as variables to create the collar pattern, or dimensions that are input into the automatic pattern generation program by being pre-set for specific parts within the collar pattern may be used as variables, or the dimensions of the bodice pattern calculated earlier may be used as variables in addition to the collar pattern.

[0156] Table 2 below shows an example of a calculation formula, which uses a multiple regression equation obtained by regression analysis as the calculation formula. It shows the calculation formulas for calculating the dimensions of kd1 (see Figure 18, front center angle of the collar) and k9 (see Figure 18, rounded-up dimension) among the calculation formulas for each part necessary to create a collar pattern as the target pattern.

[0157] [Table 2]

[0158] In the following explanation, when creating the final collar pattern using the target pattern, the symbols indicating the dimensions of each part within the target collar pattern will be the same symbols as those specified for the collar pattern of the standard pattern shown in Figure 18.

[0159] In the target collar pattern, k9 corresponds to the rounding dimension (back center incline height dimension of the collar) shown in the collar pattern (reference pattern) in Figure 18. TIFF2026515022000005.tif1820 shows the back center height of the collar as shown in Figure 15, bf5 shows the collar silhouette length in Figure 24 (described later), bb7 shows the back neck depth in Figure 24, G shows the front center length in Figure 24, and g shows the front shoulder angle in Figure 24.

[0160] The above TIFF2026515022000006.tif1820, bf5, bb7, G, and g represent the essential main variables that have a high correlation in the calculation formula (multiple regression equation) for calculating the dimensions of the collar pattern (see Figure 24), and additional types of input variables may be set in the calculation formula for determining k9.

[0161] In Table 2, the calculation formula (multiple regression equation) for calculating the collar trimming dimension (k9) is an example of a calculation formula used to generate a collar pattern as a target pattern, and the calculation formula for calculating the trimming dimension in the present invention is not limited to the formula in Table 2.

[0162] Furthermore, kd1 in Table 2 is shown in Figure 18 and represents the front center angle of the collar pattern; this is a design variable in the calculation formula. The collar back center height of TIFF2026515022000007.tif1820 and the collar silhouette length of bf5 are shown in Figures 22 and 23. It is calculated using the actual body dimensions from TIFF2026515022000008.tif2051.

[0163] Next, a pattern automatic generation program is created by programming multiple calculation formulas (part-specific regression calculation formulas), such as the multiple regression formulas shown in Table 2, to calculate the dimensions of each part within the target pattern as described above, and this program is installed on a computer.

[0164] As described above, when a computer is equipped with an automatic pattern generation program, in order to actually create clothing patterns necessary when manufacturing clothes for clothing consumers, clothing consumers or retail sales staff measure the necessary actual body dimensions of the clothing consumers, and then input the measured body dimensions into the automatic pattern generation program on the computer.

[0165] In this case, methods for measuring the actual body dimensions of clothing consumers can be used, including: measuring the length of each body part with a tape measure, including the circumference of designated body parts (neck circumference, chest circumference, waist circumference, arm circumference, and leg circumference, etc.); measuring the angle of each designated body part with a protractor (such as a horizontal angle gauge), including the angle of inclination of the shoulders; and photographic measurement, in which the front, back, and left and right sides of the body are photographed in front of a scaled background board, and the angle, length, and width of each body part are measured using the scale in the photograph.

[0166] Such measurements of actual body dimensions can be easily performed by non-experts such as clothing consumers and retail sales staff, and the actual body dimensions measured in this way are input as variables into a computer-based automatic pattern generation program to generate target patterns.

[0167] Of course, the measured actual body dimensions can be immediately input as variables into an automatic pattern generation program installed on a computer at the site where the measurements of clothing consumers are taken, or the measured values ​​input from the on-site computer can be transmitted via wired or wireless communication to a computer installed in a remote location and input as variables into an automatic pattern generation program installed on the remote computer.

[0168] Alternatively, when clothing consumers or retail sales staff take a photograph using an application installed on a smart device (smartphone, tablet PC, etc.), the actual body dimensions of the clothing consumer are calculated or extracted from the photograph, and these actual body dimensions obtained by the application are sent to a computer equipped with an automatic pattern generation program, where they are automatically entered as variables.

[0169] Since there is a left-right asymmetry in the body during photogrammetry, the front, back, and left and right sides of the body are all photographed to measure the angle and length of each body part (including the width, thickness, and circumference of the body part being photographed).

[0170] If actual body measurements of clothing consumers are input as variables into the automatic pattern generation program, the program calculates the dimensions of each part of the target pattern using position-specific (body part-specific) calculation formulas based on the input variables. Using these calculated dimensions, the automatic pattern generation program then automatically generates a target pattern with a shape based on those dimensions.

[0171] Figures 19 to 23 show the measurement locations for actual body dimensions that serve as input variables for the automatic pattern generation program. As shown in the figures, the angles, lengths, and other dimensions of various body parts of the consumer can be measured. These measured body dimensions are then input as variables into the automatic pattern generation program and used to generate target patterns, such as collar patterns.

[0172] Figure 24 shows the main variables for calculating the trimming dimensions of the collar pattern, Figure 25 shows an example of photometric measurement, and Figure 26 shows an example of the input screen of an automatic pattern generation program.

[0173] Referring to Figure 25, consumers who intend to make clothing are photographed standing in front of a background board with markings. The markings in the photographs taken in this way are then used to measure the dimensions (angles or lengths) of each part, as shown in Figures 19 to 23.

[0174] Figure 26 shows an example of the input screen for a program that automatically generates collar patterns, and among the input variable items, Items such as TIFF2026515022000009.tif1820 (see Figure 15) and bf5 (see Figures 17 and 24), and the height of the back center waist of the collar (see Figure 15(2)) are pre-set and input design variable items, the items for human body angle and human body length are actual measured body dimensions, and the items labeled as basic body pattern measurements indicate the measurements of the bodice pattern (for example, k1 (back neck circumference) and k=2 (front neck circumference) can be pre-set and input depending on the setting).

[0175] The variable item bb7 (back neck depth), which is a measurement value from the body pattern, is one of the main variables used to calculate the rounding-up dimension when generating the collar pattern as the target pattern, and this is shown in Figure 24.

[0176] Furthermore, when generating the final target pattern (collar pattern) from the dimensions obtained by the automatic pattern generation program, there are parts that should be drawn with curves in addition to parts that should be drawn with lines. For example, the automatic pattern generation program must be designed to be able to draw curved parts such as k14, k12, and k15 in the collar pattern shown in Figure 18.

[0177] For this purpose, an automatic pattern generation program can be created so that curved portions within a clothing pattern are drawn using the Hermite curve drawing method, which involves drawing curves using the distance between two points and the angle between those two points.

[0178] For example, in the case of curve k14 within the automatic pattern generation program, it can be drawn using the angle values ​​of kd7 and kd8 and the distance value of k18; in the case of curve k12, it can be drawn using the angle values ​​of kd5 and kd6 and the distance value of k17; and in the case of curve k15, it can be drawn using the angle values ​​of kd3 and kd4 and the distance value of k16.

[0179] In this case, the angle value at each point and the distance between the two points may be values ​​calculated using a predetermined formula based on other dimensions previously calculated in the target pattern (collar pattern).

[0180] Thus, according to the present invention, after measuring and obtaining the actual body dimensions of a specified part of a clothing consumer, i.e., angles and lengths (a concept that includes circumference, width, thickness, etc. measured in units of length), the pattern automatic generation program uses the obtained actual body dimensions as input variables to automatically generate a target garment pattern (target pattern). The garment pattern that is automatically generated at this time may be a pattern for the bodice of a top, or a pattern for a collar or sleeves to be attached to the bodice of a top, or a pattern for various parts of a bottom garment (skirt, trousers, etc.).

[0181] In other words, the patterns for various parts of the upper or lower garment may be ultimately generated using the actual body measurements shown in Figures 19 to 23, or the patterns for the collar and sleeves to be attached to the upper garment pattern may be ultimately generated.

[0182] For example, in the case of a collar pattern, each dimension shown in Figure 18 is determined by a calculation formula within the automatic pattern generation program. The variables in each calculation formula may be only actual body dimensions depending on the part of the collar pattern, but as mentioned above, they may also include, in addition to actual body dimensions, dimensions of other parts calculated beforehand for the collar pattern, or dimensions of other patterns related to the collar pattern (such as the bodice pattern) (such as bb7 in Figure 24, which is necessary for calculating rounded-up dimensions), or dimensions (bf5) that are pre-set and input into the automatic pattern generation program from the beginning.

[0183] Of course, the calculation formulas for each part of the garment pattern used to determine each dimension may also be regression equations that use variables with high correlation coefficients, based on the results of a correlation analysis between the body dimensions of the subject (human body model) and the pattern element dimensions of the standard pattern.

[0184] However, when deriving the regression equation, it is applied after deriving a regression equation using variable items with a high correlation coefficient with the pattern element dimensions, namely, body dimensions by body type, dimensions of other parts within the standard pattern, or dimensions of patterns for other garments (such as the dimensions of the bodice pattern in the calculation formula for each part of the collar pattern).

[0185] The automated pattern generation program constructed as described above is stored on a server or computer, and as previously stated, when the actual consumer dimensions, which are the body dimensions of the clothing consumer, are measured through a photograph of the clothing consumer taken and transmitted by a mobile terminal, the measured dimensions are input into the automated pattern generation program, and a clothing pattern is automatically generated. The automatically generated clothing pattern can then be provided again to the clothing consumer or the clothing manufacturer via the mobile terminal. For example, using the actual consumer dimensions measured through a photograph of the clothing consumer, patterns for various body parts of a top or bottom garment suitable for that consumer may be ultimately generated, or patterns for a collar and sleeves to be attached to the body pattern of the top may be ultimately generated, and the clothing pattern can be transmitted to the clothing manufacturer's mobile terminal, and a garment using a clothing pattern suitable for the clothing consumer can finally be manufactured.

[0186] Although embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concepts of the present invention as defined in the following claims are also included within the scope of the present invention.

Claims

1. The steps include selecting a large number of subjects and actually measuring the dimensions of each subject's body part to obtain the subject's actual measurements, The steps include measuring the dimensions of specific body parts in photographs taken of each of the aforementioned subjects, The process involves performing statistical analysis of correlation and regression between the measured dimensions of the subject and the dimensions of each body part of the subject measured from the photograph, thereby deriving a regression formula for calculating the actual body dimensions of clothing consumers from the body dimensions in photographs taken of clothing consumers. Based on the aforementioned regression calculation formula, a measurement program is created to calculate the actual body dimensions of clothing consumers from the body dimensions in photographs taken of them, and this program is saved on a server. A portable mobile device is used to capture images of clothing consumers for measuring their body dimensions, and the mobile device transmits the captured images to a server. The server performs the following steps: measuring the dimensions of a specified body part from an image taken of the clothing consumer using a measurement program; A method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and a method for automatically generating clothing patterns, comprising the step of inputting dimensions of body parts measured from a photograph of a clothing consumer as input variables into a measurement program so that the actual dimensions of each body part of the clothing consumer can be calculated by the measurement program.

2. The method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and the method for automatically generating clothing patterns, according to claim 1, characterized in that the measured dimensions of the subject include the angle of a body part and at least one measurement value of the length, circumference, width, and thickness of a body part measured in units of length.

3. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, according to claim 1, characterized in that, in the step of measuring the dimensions of each body part from photographs of each subject and photographs of clothing consumers, the subjects and clothing consumers are photographed together with a size measuring member made of a standard product, and then the dimensions of each body part are measured in proportion to the dimensions of the photographed size measuring member.

4. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, according to claim 3, characterized in that the subject and clothing consumer are standing in a certain direction at regular intervals with the size measuring member as the background, and multiple photographs are taken.

5. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, according to claim 4, characterized in that the direction in which the subject and clothing consumer are standing is changed by 45° at a time, and photographs are taken from a total of eight directions, including the front, back, left and right sides of the subject.

6. A method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and a method for automatically generating clothing patterns, according to claim 4, characterized in that, for each subject and clothing consumer, the shooting distance is changed to a predetermined distance in each direction, and multiple photographs with different shooting distances are taken, wherein the unit of change in the shooting distance is the length of one or more size measuring members arranged in one direction.

7. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, as described in claim 6, is characterized in that, when deriving a regression calculation formula for calculating the actual dimensions of each body part of a clothing consumer from the dimensions of body parts in a photograph taken of the clothing consumer, a statistical analysis is performed for each shooting distance to derive multiple regression calculation formulas that are separated by shooting distance for each body part, and the regression calculation formula corresponding to the shooting distance at the time the clothing consumer was photographed is selected and used to calculate the actual dimensions of the clothing consumer.

8. A method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and a method for automatically generating clothing patterns, as described in claim 1, characterized in that the body part of the subject whose actual dimensions are measured and the body part whose dimensions are measured from a photograph of the subject are defined as the same body part.

9. In the process of performing the statistical processing of the correlation analysis and regression analysis described above, the correlation between the actual measurement data of each subject obtained for each subject and the body part measurement data of each subject measured from the photograph is analyzed as variables, body dimension items on the photograph that have a correlation with the actual measurement data of the subject are extracted, and then the regression calculation formula is derived by performing a regression analysis with the body dimension items on the photograph that have a correlation with the actual measurement data of the subject as independent variables, as described in claim 1, a method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and a method for automatically generating clothing patterns.

10. The regression calculation formula is characterized in that the variables are the actual dimensions of other body parts of the clothing consumer, which were previously calculated along with the dimensions of the body parts measured from a photograph of the clothing consumer, as described in any one of claims 1, 7, or 9. This is a method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and a method for automatically generating clothing patterns.

11. After creating standard patterns that fit the body shape of each of the aforementioned numerous subjects, the step of measuring the pattern element dimensions, which are the dimensions of specified parts within each standard pattern, The steps include: performing statistical analysis of correlation and regression between the body dimensions for each body type and the dimensions of the pattern elements, and deriving a regression calculation formula for calculating the dimensions of each part in the target pattern from the dimensions of the body parts measured for clothing consumers; The steps include: calculating the dimensions of each part within the target pattern from the dimensions of the body parts of the clothing consumer obtained from photographs taken of the clothing consumer based on the regression calculation formula; and creating an automated pattern generation program that generates the target pattern using the calculated dimensions of each part and saving it to a server; The server inputs the body part dimensions measured for the clothing consumer as input variables into an automatic pattern generation program, and the automatic pattern generation program automatically generates a target pattern for the clothing consumer. A method for measuring body dimensions for ordering and manufacturing non-face-to-face made-to-order clothing, and a method for automatically generating clothing patterns, according to claim 1, further comprising the step of providing an automatically generated target pattern for a consumer to a mobile terminal of a clothing consumer or a clothing manufacturer.

12. The method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and the method for automatically generating clothing patterns, according to claim 11, characterized in that the body dimensions measured for the clothing consumer include the angle of a body part and at least one measurement value of the length, circumference, width, and thickness of a body part measured in units of length.

13. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, according to claim 11, characterized in that, in the step of obtaining body dimensions according to body type, a human body model that replicates the body of each subject is created, and the body dimensions of each body part are measured using each human body model to obtain body dimensions according to body type.

14. The human body model is produced by applying plaster to the body of each subject, allowing it to solidify, then removing it to create a plaster mold, applying a release agent and liquid resin to the inner surface of the prepared plaster mold, and then separating the mold after the liquid resin has hardened, as described in claim 13, a method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and an automatic method for generating clothing patterns.

15. The method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and the method for automatically generating clothing patterns, according to claim 13 or 14, wherein the anatomical model is made of fiber-reinforced plastic.

16. The step of obtaining body dimensions according to body type is: A method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and a method for automatically generating clothing patterns, as described in claim 13, characterized in that each anatomical model is photographed together with a size measuring member, and then the dimensions of each body part are measured in proportion to the size measuring member in the photographed image.

17. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, as described in claim 13, characterized in that, when creating standard patterns that fit the body shape of each subject, the standard patterns that fit the body shape of the human body model are created using the human body model.

18. The method for measuring body dimensions for ordering and manufacturing non-face-to-face custom-made clothing, and the method for automatically generating clothing patterns, according to claim 11, characterized in that the pattern element dimensions are angle and length measurements taken with respect to a defined part within a standard pattern.

19. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, according to claim 11, characterized in that, in the process of performing the statistical processing of the correlation analysis and regression analysis, the correlation between body type-specific body dimension data and pattern element dimension data are analyzed with respect to the pattern element dimensions, body type-specific body dimension items that have a correlation with the pattern element dimensions are extracted, and then a regression analysis is performed with the body type-specific body dimension items that have a correlation with the pattern element dimensions as independent variables to derive the regression calculation formula.

20. The regression calculation formula is characterized in that it is a regression formula in which at least one of the following variables is the dimensions of a body part measured for a clothing consumer, the dimensions of other parts calculated in advance for a target pattern, the dimensions set in advance for a specific part within the target pattern, and the dimensions calculated in advance for other target patterns that together constitute a clothing pattern for making a single garment, according to claim 11 or 19, a method for measuring body dimensions for ordering and manufacturing non-face-to-face made-to-order clothing, and a method for automatically generating clothing patterns.

21. The automatic pattern generation program is characterized in that the curved portion within the target pattern is drawn using the Hermite curve drawing method, which uses the distance between two points at both ends of the curved portion and the angle at those two points, as described in claim 11, for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and for automatically generating clothing patterns.

22. The method for measuring body dimensions for ordering and manufacturing custom-made clothing without face-to-face interaction, and the method for automatically generating clothing patterns, according to claim 11, characterized in that the body parts of the subject whose actual dimensions are measured and the body parts whose dimensions are measured from the subject's photographs are designated as body parts whose dimensions are required when drafting clothing patterns.

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