Clothing looseness uniformity evaluation method

Abstract

The invention discloses a garment looseness uniformity evaluation method, which belongs to the technical field of garment performance evaluation, and comprises the following steps: constructing a three-dimensional human body-garment measurement model based on a three-dimensional human body model and a three-dimensional garment model under the same posture, carrying out human body anatomical part structure division, and constructing local measurement models under different anatomical parts; according to the volume, the upper surface area, the lower surface area and the height of the three-dimensional human body model corresponding to the local measurement model under each anatomical part, and the volume, the upper surface area, the lower surface area and the fabric volume of the three-dimensional clothing model corresponding to the local measurement model under each anatomical part, calculating the volume, the upper surface area, the lower surface area and the fabric volume of the three-dimensional clothing model; and calculating the clothing looseness corresponding to the local measurement model under each anatomical part, further calculating a clothing looseness uniformity index, and evaluating the clothing looseness uniformity through the clothing looseness uniformity index. According to the method, the clothing looseness of each part of the human body can be quantified spatially, and the clothing looseness uniformity evaluation precision is improved.

Description

Technical Field

[0001] The invention relates to a method for evaluating uniformity of looseness of clothing, and belongs to the technical field of clothing performance evaluation. Background Art

[0002] Garment looseness uniformity refers to the degree of coordination between the distribution of clearances between various garment parts and the human body. It is a core indicator of overall garment quality and has a decisive impact on the wearing experience, functional performance, and appearance. From a comfort perspective, uniform looseness ensures balanced force distribution across the body, avoiding localized pressure caused by overtightening (such as restricted breathing caused by a tight waistband) or redundant friction caused by overloosening (such as excessive looseness under the arms causing fabric to bunch up), thus ensuring physiological adaptability during prolonged wear. From a functional perspective, specialized garments such as sportswear and protective clothing rely on uniform looseness distribution to achieve dynamic adaptation. For example, torso twisting during running requires coordinated looseness distribution in the shoulders, back, and waist. Unbalanced looseness in certain areas can easily lead to movement blockage or reduced protective performance. From an appearance and customization perspective, uniform looseness ensures the garment's shape is stable in different postures. Uneven looseness can distort the garment's shape during dynamic movements. Uniform looseness is the key to achieving the right balance between "fit" and "aesthetics" in personalized customization.

[0003] Traditional methods for quantifying looseness cannot meet the accuracy requirements for uniformity assessment due to technical limitations. For example, calculating garment looseness using the difference between garment circumference and the body's net circumference only reflects looseness at a specific two-dimensional cross-section (e.g., the chest circumference), ignoring the complexity of looseness in three-dimensional space. For example, two tops with the same chest circumference difference may have different uniformity, such as being too tight at the upper chest and too loose at the lower chest, easily leading to misjudgments of "partially meeting the standard but uneven." While existing three-dimensional technology offers new possibilities for looseness assessment, it still has certain limitations in uniformity quantification, lacking a systematic quantification method for "uniformity." Current methods primarily rely on visual comparison to determine the uniformity distribution of looseness, which is highly subjective or ignores the correlation between the volumetric properties of looseness and surface morphology in three-dimensional space, resulting in a disconnect between the quantitative results and the actual wearing experience. Chinese Patent Publication No. CN115511578A discloses a virtual fitting algorithm based on garment looseness, but lacks looseness uniformity assessment, resulting in uneven distribution of looseness in certain areas of the garment, causing discomfort during wear. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for evaluating the uniformity of clothing looseness, which can spatially quantify the looseness of clothing in various parts of the human body and improve the accuracy of clothing looseness uniformity evaluation.

[0005] In order to achieve the above object, the present invention provides the following technical solutions: In a first aspect, the present invention provides a method for evaluating uniformity of looseness of clothing, comprising: Based on the 3D human body model and 3D clothing model in the same posture, a 3D human body-clothing measurement model is constructed; Divide the 3D human-clothing measurement model into different anatomical parts and construct local measurement models for different anatomical parts. Calculate the garment looseness corresponding to the local measurement model at each anatomical part based on the volume, upper surface area, lower surface area, and height of the three-dimensional human body model corresponding to the local measurement model at each anatomical part, as well as the volume, upper surface area, lower surface area, and fabric volume of the three-dimensional garment model corresponding to the local measurement model at each anatomical part; According to the clothing looseness corresponding to the local measurement model under each anatomical part, the clothing looseness uniformity index is calculated, and the clothing looseness uniformity is evaluated by the clothing looseness uniformity index.

[0006] In combination with the first aspect, further, a method for constructing a three-dimensional human body model and a three-dimensional clothing model in the same posture includes: 3D body scanning technology is used to obtain 3D point cloud data of naked human bodies in specific postures, and after noise reduction and smoothing processing, a 3D human body model is generated; Use clothing modeling software to build clothing samples according to clothing style and clothing size parameters, and virtually sew the clothing samples according to the sewing process sequence; Use 3D virtual fitting software to match the virtually stitched clothing sample to the 3D human body model, and adjust the virtual fabric parameters so that the fit between the clothing and the human body surface conforms to the actual wearing scenario, generating a 3D clothing model.

[0007] In combination with the first aspect, further, constructing a 3D human-clothing measurement model based on the 3D human body model and the 3D clothing model in the same posture includes: Using reverse engineering technology to extract anatomical feature markers of 3D human body model and 3D clothing model; An improved weighted non-rigid iterative closest point algorithm is used to assign matching weights to anatomical feature markers, and elastic deformation constraints are applied to non-feature areas. The 3D human body model and the 3D clothing model in the same posture are aligned according to the matching weights of the anatomical feature markers to generate a 3D human body-clothing measurement model.

[0008] In combination with the first aspect, further, the anatomical feature marker points include the vertex of the head, the acromion point, the cervical vertebra point, the elbow point, the wrist point, the chest height point, the midpoint of the patella, the lateral malleolus point and the heel point.

[0009] In combination with the first aspect, further, registering the 3D human body model and the 3D clothing model in the same posture according to the matching weights of the anatomical feature markers includes: Preprocessing the 3D human body model and 3D clothing model in the same pose, removing noise from the 3D human body model and 3D clothing model, and simplifying the meshes of the 3D human body model and 3D clothing model; The 3D human body model and the 3D clothing model in the same posture are registered according to the matching weights of the anatomical feature markers, and the average registration error between the 3D human body model and the 3D clothing model in the same posture is adjusted to be less than or equal to the error threshold through iteration.

[0010] In combination with the first aspect, further dividing the three-dimensional human body-clothing measurement model into human anatomical parts and constructing local measurement models under different anatomical parts includes: Determining preset height parameters of the local measurement model under each anatomical part according to the structure of the human anatomical part; Reverse engineering modeling software is used to divide the 3D human-clothing measurement model into human anatomical parts according to preset height parameters, and redundant data beyond the human anatomical parts are deleted to generate local measurement models under different anatomical parts.

[0011] In combination with the first aspect, further, the human anatomical parts include the left upper arm, left forearm, right upper arm, right forearm, chest, abdomen, buttocks, left thigh, left calf, right thigh and right calf.

[0012] In combination with the first aspect, further, the calculation formula for the clothing looseness corresponding to the local measurement model under each anatomical part is: ; in, Indicates the The clothing looseness corresponding to the local measurement model under each anatomical part, 、 、 、 Respectively represent The volume, upper surface area, lower surface area, and height of the three-dimensional human body model corresponding to each local measurement model. 、 、 、 Respectively represent The volume, upper surface area, lower surface area and fabric volume of the three-dimensional clothing model corresponding to the local measurement model.

[0013] In combination with the first aspect, further, calculating the clothing looseness uniformity index according to the clothing looseness corresponding to the local measurement model under each anatomical part includes: Calculate the mean value of clothing looseness according to the clothing looseness corresponding to the local measurement model under each anatomical part; Calculate the clothing looseness uniformity index based on the clothing looseness mean; The calculation formula for the mean value of clothing looseness is: ; in, Indicates the mean value of clothing looseness, Indicates the The clothing looseness corresponding to the local measurement model under each anatomical part, represents the total number of anatomical parts; The calculation formula of clothing looseness uniformity index is: ; in, Indicates the uniform index of clothing looseness. , The smaller it is, the more evenly the clothing looseness is distributed. Indicates that the looseness of the clothing is evenly distributed. It means that the distribution of clothing looseness is completely uneven. Indicates the The clothing looseness corresponding to the local measurement model under different anatomical parts.

[0014] In a second aspect, the present invention provides a device for evaluating uniformity of looseness of clothing, comprising: A model construction module is used to construct a 3D human-clothing measurement model based on a 3D human body model and a 3D clothing model in the same posture; and is used to divide the 3D human-clothing measurement model into human anatomical parts and construct local measurement models of different anatomical parts; The index calculation module is used to calculate the clothing looseness corresponding to the local measurement model of each anatomical part based on the volume, upper surface area, lower surface area and height of the three-dimensional human body model corresponding to the local measurement model of each anatomical part, and the volume, upper surface area, lower surface area and fabric volume of the three-dimensional clothing model corresponding to the local measurement model of each anatomical part; and is used to calculate the clothing looseness uniformity index based on the clothing looseness corresponding to the local measurement model of each anatomical part, and evaluate the clothing looseness uniformity through the clothing looseness uniformity index.

[0015] In a third aspect, the present invention provides a computer device, comprising: Storage medium for storing computer programs; A processor is used to execute the computer program to implement the method for evaluating uniformity of looseness of clothing according to the first aspect.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for evaluating uniformity of looseness of clothing as described in the first aspect.

[0017] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method for evaluating uniformity of looseness of clothing as described in the first aspect.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The clothing looseness uniformity assessment method provided by the present invention calculates the clothing looseness corresponding to the local measurement model under each anatomical part based on relevant parameters corresponding to the local measurement model under each anatomical part, and then calculates the clothing looseness uniformity index. This method takes into account the actual three-dimensional human body morphological characteristics, spatially quantifies the clothing looseness of various parts of the human body, and can objectively and truly reflect the distribution state of clothing looseness on the human body. By assessing the clothing looseness uniformity through the clothing looseness uniformity index, the accuracy of clothing looseness uniformity assessment can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of a method for evaluating uniformity of looseness of clothing provided by an embodiment of the present invention; Figure 2 is a schematic diagram of a standing three-dimensional human body-clothing measurement model provided by an embodiment of the present invention; Figure 3 This is a schematic diagram of a local measurement model of the waist and abdomen in a standing posture provided by an embodiment of the present invention, wherein a is a three-dimensional human body model corresponding to the local measurement model of the waist and abdomen in a standing posture, and b is a three-dimensional clothing model corresponding to the local measurement model of the waist and abdomen in a standing posture. DETAILED DESCRIPTION

[0020] The technical solution of the present invention will be further described in detail below in conjunction with specific implementation methods.

[0021] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention and are not to be construed as limiting the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0022] An embodiment of the present invention provides a method for evaluating uniformity of looseness of clothing, comprising: Based on the 3D human body model and 3D clothing model in the same posture, a 3D human body-clothing measurement model is constructed; Divide the 3D human-clothing measurement model into different anatomical parts and construct local measurement models for different anatomical parts. Calculate the garment looseness corresponding to the local measurement model at each anatomical part based on the volume, upper surface area, lower surface area, and height of the three-dimensional human body model corresponding to the local measurement model at each anatomical part, as well as the volume, upper surface area, lower surface area, and fabric volume of the three-dimensional garment model corresponding to the local measurement model at each anatomical part; According to the clothing looseness corresponding to the local measurement model under each anatomical part, the clothing looseness uniformity index is calculated, and the clothing looseness uniformity is evaluated by the clothing looseness uniformity index.

[0023] The method for evaluating the uniformity of looseness of clothing provided by the embodiment of the present invention effectively reflects the ergonomic fit, pattern structure rationality, and production process control level of clothing by quantifying the looseness distribution index of each part of clothing, objectively evaluates the spatial fit of clothing and human body, and makes up for the shortcomings of the existing clothing looseness uniformity that is difficult to quantify. It takes into account the real human posture and uses virtual fitting to truly restore the alignment of human body and clothing, so that the uniformity evaluation of clothing looseness is not just theoretical, but is based on the real reflection of measured data. It uses the local looseness uniformity index of clothing to correspond to the comfort of human body wearing, quantifies the data of the comfort of human body wearing, and provides help for functional research of clothing and virtual fitting. The evaluation results of the present invention can be used to optimize clothing pattern design, improve production process flow, and establish a scientific size recommendation system, significantly improving the wearing comfort and market satisfaction of clothing.

[0024] Figure 1 This is a flow chart of a method for evaluating the uniformity of looseness of clothing provided by an embodiment of the present invention. This flow chart only shows the logical sequence of the method of this embodiment. Different methods can be used without conflict. Figure 1 The steps shown or described are accomplished in the order shown.

[0025] The method for evaluating the uniformity of looseness of clothing provided in an embodiment of the present invention can be applied to a terminal and can be executed by a device for evaluating the uniformity of looseness of clothing. The device can be implemented by software and / or hardware, and the device can be integrated into a terminal, for example: any tablet computer or computer device with communication function.

[0026] In this embodiment, the calculation formula for the clothing looseness corresponding to the local measurement model at each anatomical part is: ; in, Indicates the The clothing looseness corresponding to the local measurement model under each anatomical part, in mm, 、 、 Respectively represent The volume of the 3D human body model, the volume of the 3D clothing model, and the fabric volume of the 3D clothing model corresponding to each local measurement model, all in mm 3 , 、 Respectively represent The upper and lower surface areas of the 3D human body model corresponding to each local measurement model, both in mm 2 , 、 Respectively represent The upper and lower surface areas of the three-dimensional clothing model corresponding to the local measurement model, both in mm 2 , Indicates the The height of the 3D human body model corresponding to the local measurement model, in mm.

[0027] In this embodiment, calculating the clothing looseness uniformity index according to the clothing looseness corresponding to the local measurement model of each anatomical part specifically includes the following steps: Step 1: Calculate the mean value of clothing looseness according to the clothing looseness corresponding to the local measurement model under each anatomical part; In this embodiment, the calculation formula for the average value of clothing looseness is: ; in, Indicates the average looseness of clothing, in mm. represents the total number of anatomical parts, and is an integer.

[0028] Step 2: Calculate the clothing looseness uniformity index based on the clothing looseness mean.

[0029] In this embodiment, the calculation formula of the clothing looseness uniformity index is: ; in, Indicates the uniform index of clothing looseness. , The smaller it is, the more evenly the clothing looseness is distributed. Indicates that the looseness of the clothing is evenly distributed. It means that the distribution of clothing looseness is completely uneven. Indicates the The clothing looseness corresponding to the local measurement model under each anatomical part, in mm.

[0030] In one possible embodiment, the method for constructing a 3D human body model and a 3D clothing model in the same posture specifically includes the following steps: Step 1: Use 3D body scanning technology to obtain 3D point cloud data of a naked human body in a specific posture. After noise reduction and smoothing, a 3D human body model is generated. Specifically, the three-dimensional human body scanning technology can adopt laser scanning, structured light scanning or any other scanning technology that can extract three-dimensional point cloud data of a naked human body.

[0031] Step 2: Use clothing modeling software to build a clothing sample according to clothing style and clothing size parameters, and virtually sew the clothing sample according to the sewing process sequence; Specifically, clothing size parameters include length, chest circumference, sleeve length or other size parameters that may be needed.

[0032] When virtually sewing a garment pattern according to the sewing process sequence, the structural integrity of the garment pattern needs to be ensured.

[0033] Step 3: Use 3D virtual fitting software to match the virtually stitched clothing pattern to the 3D human body model, and adjust the virtual fabric parameters so that the fit between the clothing and the human body surface conforms to the actual wearing scenario, thus generating a 3D clothing model.

[0034] Specifically, the virtual fabric parameters are adjusted so that the fit between the clothing and the human body surface conforms to the actual wearing scenario, for example, the clothing is not overstretched or suspended relative to the human body.

[0035] In this embodiment, a 3D virtual fitting software is used to perform a 3D virtual fitting simulation on a 3D human body model, specifically comprising the following steps: Step 1: In the 3D virtual fitting software, put the 3D clothing model on the 3D human body model and determine the stitching relationship between the garment pieces; Step ②: Based on the stitching relationship between the garment pieces, virtual stitching technology is used to virtually stitch the garment pieces to simulate the real dressing effect.

[0036] In one possible embodiment, constructing a 3D human-clothing measurement model based on a 3D human body model and a 3D clothing model in the same posture specifically includes the following steps: Step 1: Use reverse engineering technology to extract anatomical feature markers of the 3D human body model and 3D clothing model; Specifically, the anatomical feature markers include the vertex of the head, the acromion point, the cervical spine point, the elbow point, the wrist point, the chest height point, the midpoint of the patella, the lateral malleolus point, the heel point, or other feature markers that may be needed.

[0037] Step 2: An improved weighted non-rigid iterative closest point algorithm is used to assign matching weights to the anatomical feature markers, and elastic deformation constraints are applied to the non-feature areas. The 3D human body model and the 3D clothing model in the same posture are registered according to the matching weights of the anatomical feature markers to generate a 3D human-clothing measurement model.

[0038] Specifically, an improved weighted non-rigid iterative closest point algorithm is used to assign higher matching weights to anatomical feature markers, and elastic deformation constraints are applied to non-feature areas to achieve model registration and reduce registration errors caused by posture deformation.

[0039] In a possible embodiment, registering the 3D human body model and the 3D clothing model in the same posture according to the matching weights of the anatomical feature markers specifically includes the following steps: Step 1: Preprocess the 3D human body model and 3D clothing model in the same pose, remove noise from the 3D human body model and 3D clothing model, and simplify the meshes of the 3D human body model and 3D clothing model; Step ②: Align the 3D human body model and the 3D clothing model in the same posture according to the matching weights of the anatomical feature markers, and adjust the average registration error of the 3D human body model and the 3D clothing model in the same posture to be less than or equal to the error threshold through iteration.

[0040] Specifically, the error threshold is set to 0.5 mm, and the average registration error between the 3D human body model and the 3D clothing model in the same posture is iteratively adjusted to less than or equal to 0.5 mm to achieve error optimization. Under the premise of maintaining the consistency of the topological structure of the 3D human body model and the 3D clothing model, a 3D human body-clothing measurement model is generated.

[0041] In one possible embodiment, dividing the three-dimensional human body-clothing measurement model into human anatomical parts and constructing local measurement models of different anatomical parts specifically includes the following steps: Step 1: Determine the preset height parameters of the local measurement model under each anatomical part according to the structure of the human anatomical part; Specifically, the anatomical parts of the human body include the left upper arm, left forearm, right upper arm, right forearm, chest, abdomen, buttocks, left thigh, left calf, right thigh, right calf or other parts that may need to be used.

[0042] The preset height parameters of the local measurement model under each anatomical part are determined according to the structure of the human anatomical part. For example, the preset thigh height is the height difference from the crotch bottom to the knee joint.

[0043] Step 2: Use reverse engineering modeling software to divide the 3D human-clothing measurement model into anatomical parts according to preset height parameters, delete redundant data beyond the anatomical parts, and generate local measurement models under different anatomical parts.

[0044] In this embodiment, the number of anatomical parts can be adjusted according to the type of clothing. For example, a top can include four anatomical parts: chest, waist and abdomen, upper arms and forearms, corresponding to local measurement models under the four anatomical parts of chest, waist and abdomen, upper arms and forearms.

[0045] Specifically, the straight line tool in the cropping tool of the reverse engineering modeling software is first used to planarly crop the upper bottom surface of the 3D human body-clothing measurement model corresponding to each anatomical part. Then, based on the preset height parameters corresponding to each anatomical part, the straight line tool is translated to planarly crop the lower bottom surface of the 3D human body-clothing measurement model corresponding to each anatomical part. Finally, the portion of the 3D human body-clothing measurement model other than the anatomical part area is deleted to obtain the local measurement models of different anatomical parts.

[0046] The method for evaluating the uniformity of looseness of two garments, garment A and garment B, is used to evaluate the uniformity of looseness of the garments. The method specifically includes the following steps: Step 1: Based on the 3D human body model and 3D clothing model in standing posture, a standing 3D human body-clothing measurement model is constructed; In this embodiment, the three-dimensional human body model in a standing posture is obtained by scanning a naked human body in a standing posture using a three-dimensional human body scanner, and the constructed standing three-dimensional human body-clothing measurement model is as follows: Figure 2 shown.

[0047] Step 2: Divide the standing 3D human-clothing measurement model into anatomical parts and construct local measurement models of different anatomical parts in the standing posture; In this embodiment, the standing three-dimensional human body-clothing measurement model is divided into 11 anatomical parts, namely the left upper arm, left forearm, right upper arm, right forearm, chest, abdomen, buttocks, left thigh, left calf, right thigh, and right calf, to construct local measurement models of the 11 anatomical parts in the standing posture. The constructed local measurement model of the waist and abdomen in the standing posture is as follows: Figure 3 As shown, a is the three-dimensional human body model corresponding to the local measurement model of the waist and abdomen in a standing posture, and b is the three-dimensional clothing model corresponding to the local measurement model of the waist and abdomen in a standing posture.

[0048] Step 3: Calculate the garment looseness corresponding to the local measurement model at each anatomical site based on the volume, upper surface area, lower surface area, and height of the three-dimensional human body model corresponding to the local measurement model at each anatomical site, as well as the volume, upper surface area, lower surface area, and fabric volume of the three-dimensional garment model corresponding to the local measurement model at each anatomical site; In this embodiment, the volumes of the three-dimensional human body models corresponding to the local measurement models of 11 anatomical parts in the standing posture are measured respectively ( , ), upper surface area ( , ), lower surface area ( , ),high( , ), and the volume of the 3D clothing model corresponding to the local measurement models of 11 anatomical parts in the standing posture ( , ), upper surface area ( , ), lower surface area ( , )、Fabric volume( , ),in, They correspond to 11 anatomical parts, namely left upper arm, left forearm, right upper arm, right forearm, chest, abdomen, buttocks, left thigh, left calf, right thigh, and right calf.

[0049] In order to compare the distribution of looseness uniformity of clothing A and clothing B, the relevant data corresponding to clothing A and clothing B were measured respectively. The relevant data corresponding to clothing A is shown in Table 1, and the relevant data corresponding to clothing B is shown in Table 2.

[0050] Table 1: Corresponding data of the local measurement model of 11 anatomical parts of garment A in standing posture .

[0051] Table 2: Corresponding data of the local measurement model of 11 anatomical parts of garment B in standing posture .

[0052] Based on the relevant data corresponding to garments A and B, the garment looseness corresponding to the local measurement models of the 11 anatomical parts of garments A and B in a standing posture is calculated respectively. The calculation results of the garment looseness corresponding to the local measurement models of the 11 anatomical parts of garment A in a standing posture are shown in Table 3, and the calculation results of the garment looseness corresponding to the local measurement models of the 11 anatomical parts of garment B in a standing posture are shown in Table 4.

[0053] Table 3: Calculation results corresponding to the local measurement model of 11 anatomical parts of garment A in standing posture .

[0054] As shown in Table 3, for clothing A, the clothing looseness corresponding to the local measurement models of various anatomical parts of the upper body (left upper arm, left forearm, right upper arm, right forearm, chest, and abdomen) is 22.29mm, 26.28mm, 20.95mm, 30.74mm, 25.74mm, and 55.24mm; the clothing looseness corresponding to the local measurement models of various anatomical parts of the lower body (buttocks, left thigh, left calf, right thigh, and right calf) is 30.45mm, 27.79mm, 33.73mm, 32.97mm, and 34.10mm.

[0055] Table 4: Calculation results corresponding to the local measurement model of 11 anatomical parts of garment B in standing posture .

[0056] As shown in Table 4, for clothing B, the clothing looseness corresponding to the local measurement models of various anatomical parts of the upper body (left upper arm, left forearm, right upper arm, right forearm, chest, and abdomen) is 19.48mm, 22.42mm, 19.23mm, 22.61mm, 18.07mm, and 58.16mm; the clothing looseness corresponding to the local measurement models of various anatomical parts of the lower body (buttocks, left thigh, left calf, right thigh, and right calf) is 39.29mm, 34.68mm, 27.67mm, 33.15mm, and 34.31mm.

[0057] Step 4: Calculate the clothing looseness uniformity index based on the clothing looseness corresponding to the local measurement model under each anatomical part, and evaluate the clothing looseness uniformity through the clothing looseness uniformity index.

[0058] In this embodiment, the looseness uniformity index of garments A and B is calculated based on the garment looseness corresponding to the local measurement models of 11 anatomical parts of garments A and B in a standing posture. The calculation results of the looseness uniformity index of garment A are shown in Table 3, and the calculation results of the looseness uniformity index of garment B are shown in Table 4.

[0059] The closer the clothing looseness uniformity index is to 0, the better the uniformity of the clothing looseness distribution is. According to the clothing looseness corresponding to the local measurement model of 11 anatomical parts of clothing A in a standing posture, the looseness uniformity index of clothing A is 0.138, indicating that the looseness uniformity of clothing A is very good.

[0060] According to the clothing looseness corresponding to the local measurement model of 11 anatomical parts of clothing B in the standing posture, the looseness uniformity index of clothing B is 0.199. Compared with clothing A, the looseness distribution of clothing B is less uniform, indicating that the looseness distribution of clothing A is more uniform, which is more conducive to the wearing comfort of clothing and the optimization of clothing pattern design.

[0061] The present invention optimizes the evaluation method of the uniformity of clothing looseness, spatially quantifies the uniformity of clothing looseness in various parts of the human body, and improves the accuracy and convenience of measurement compared to traditional methods. The evaluation of the uniformity of clothing looseness is conducive to designing products that meet comfort and functional requirements for clothing styles. As an evaluation standard, the evaluation of the uniformity of clothing looseness is conducive to consumers choosing suitable clothing or customizing clothing based on the clothing looseness uniformity index. The evaluation of the uniformity of clothing looseness can guide pattern optimization and process improvement, significantly improve the comfort and fit of products, and is of great value in promoting the intelligent upgrading and standardized development of the clothing industry. It has broad application prospects in the fields of garment manufacturing, clothing customization, and functional clothing.

[0062] An embodiment of the present invention provides a device for evaluating uniformity of looseness of clothing, comprising: A model construction module is used to construct a 3D human-clothing measurement model based on a 3D human body model and a 3D clothing model in the same posture; and is used to divide the 3D human-clothing measurement model into human anatomical parts and construct local measurement models of different anatomical parts; The index calculation module is used to calculate the clothing looseness corresponding to the local measurement model of each anatomical part based on the volume, upper surface area, lower surface area and height of the three-dimensional human body model corresponding to the local measurement model of each anatomical part, and the volume, upper surface area, lower surface area and fabric volume of the three-dimensional clothing model corresponding to the local measurement model of each anatomical part; and is used to calculate the clothing looseness uniformity index based on the clothing looseness corresponding to the local measurement model of each anatomical part, and evaluate the clothing looseness uniformity through the clothing looseness uniformity index.

[0063] The device for evaluating the uniformity of looseness of clothing provided by the embodiment of the present invention can execute the method for evaluating the uniformity of looseness of clothing provided by the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0064] An embodiment of the present invention provides a computer device, including: Storage medium for storing computer programs; A processor is used to execute a computer program to implement the method for evaluating uniformity of looseness of clothing provided by an embodiment of the present invention.

[0065] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for evaluating the uniformity of looseness of clothing provided by the embodiment of the present invention is implemented.

[0066] This embodiment provides a computer program product, including a computer program. When the computer program is executed by a processor, the method for evaluating uniformity of looseness of clothing provided in the embodiment of the present invention is implemented.

[0067] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0068] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0069] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0071] The above are only preferred embodiments of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for evaluating uniformity of looseness of clothing, characterized in that: include: Based on the 3D human body model and 3D clothing model in the same posture, a 3D human body-clothing measurement model is constructed; Divide the 3D human-clothing measurement model into different anatomical parts and construct local measurement models for different anatomical parts. Calculate the garment looseness corresponding to the local measurement model at each anatomical part based on the volume, upper surface area, lower surface area, and height of the three-dimensional human body model corresponding to the local measurement model at each anatomical part, as well as the volume, upper surface area, lower surface area, and fabric volume of the three-dimensional garment model corresponding to the local measurement model at each anatomical part; According to the clothing looseness corresponding to the local measurement model under each anatomical part, the clothing looseness uniformity index is calculated, and the clothing looseness uniformity is evaluated by the clothing looseness uniformity index.

2. The method for evaluating uniformity of looseness of clothing according to claim 1, wherein: The method for constructing a 3D human body model and a 3D clothing model in the same posture includes: 3D body scanning technology is used to obtain 3D point cloud data of naked human bodies in specific postures, and after noise reduction and smoothing, a 3D human body model is generated; Use clothing modeling software to build clothing samples according to clothing style and clothing size parameters, and virtually sew the clothing samples according to the sewing process sequence; Use 3D virtual fitting software to match the virtually stitched clothing sample to the 3D human body model, and adjust the virtual fabric parameters so that the fit between the clothing and the human body surface conforms to the actual wearing scenario, generating a 3D clothing model.

3. The method for evaluating uniformity of looseness of clothing according to claim 1, wherein: Based on the 3D human body model and the 3D clothing model in the same posture, the 3D human body-clothing measurement model is constructed, including: Using reverse engineering technology to extract anatomical feature markers of 3D human body model and 3D clothing model; An improved weighted non-rigid iterative closest point algorithm is used to assign matching weights to anatomical feature markers, and elastic deformation constraints are applied to non-feature areas. The 3D human body model and the 3D clothing model in the same posture are aligned according to the matching weights of the anatomical feature markers to generate a 3D human body-clothing measurement model.

4. The method for evaluating uniformity of looseness of clothing according to claim 3, wherein: The anatomical landmarks include the vertex of the head, acromion point, cervical spine point, elbow point, wrist point, chest height point, patella midpoint, lateral malleolus point and heel point.

5. The method for evaluating uniformity of looseness of clothing according to claim 3, wherein: The registration of the 3D human body model and the 3D clothing model in the same posture according to the matching weights of the anatomical feature landmarks includes: Preprocessing the 3D human body model and 3D clothing model in the same pose, removing noise from the 3D human body model and 3D clothing model, and simplifying the meshes of the 3D human body model and 3D clothing model; The 3D human body model and the 3D clothing model in the same posture are registered according to the matching weights of the anatomical feature markers, and the average registration error between the 3D human body model and the 3D clothing model in the same posture is adjusted to be less than or equal to the error threshold through iteration.

6. The method for evaluating uniformity of looseness of clothing according to claim 1, wherein: The 3D human-clothing measurement model is divided into human anatomical parts and local measurement models of different anatomical parts are constructed, including: Determining preset height parameters of the local measurement model under each anatomical part according to the structure of the human anatomical part; Reverse engineering modeling software is used to divide the 3D human-clothing measurement model into human anatomical parts according to preset height parameters, and redundant data beyond the human anatomical parts are deleted to generate local measurement models under different anatomical parts.

7. The method for evaluating uniformity of looseness of clothing according to claim 6, wherein: The human anatomical parts include the left upper arm, left forearm, right upper arm, right forearm, chest, abdomen, buttocks, left thigh, left calf, right thigh and right calf.

8. The method for evaluating uniformity of looseness of clothing according to claim 1, wherein: The calculation formula for the clothing looseness corresponding to the local measurement model under each anatomical part is: ； in, Indicates the The clothing looseness corresponding to the local measurement model under each anatomical part, 、 、 、 Respectively represent The volume, upper surface area, lower surface area, and height of the three-dimensional human body model corresponding to each local measurement model. 、 、 、 Respectively represent The volume, upper surface area, lower surface area and fabric volume of the three-dimensional clothing model corresponding to the local measurement model.

9. The method for evaluating uniformity of looseness of clothing according to claim 1, wherein: According to the clothing looseness corresponding to the local measurement model under each anatomical part, the clothing looseness uniformity index is calculated including: Calculate the mean value of clothing looseness according to the clothing looseness corresponding to the local measurement model under each anatomical part; Calculate the clothing looseness uniformity index based on the clothing looseness mean; The calculation formula for the mean value of clothing looseness is: ； in, Indicates the mean value of clothing looseness, Indicates the The clothing looseness corresponding to the local measurement model under each anatomical part, represents the total number of anatomical parts; The calculation formula of clothing looseness uniformity index is: ； in, Indicates the uniform index of clothing looseness. , The smaller it is, the more evenly the clothing looseness is distributed. Indicates that the looseness of the clothing is evenly distributed. It means that the distribution of clothing looseness is completely uneven. Indicates the The clothing looseness corresponding to the local measurement model under different anatomical parts.

10. A device for evaluating uniformity of looseness of clothing, characterized in that: include: A model building module is used to build a 3D human-clothing measurement model based on a 3D human body model and a 3D clothing model in the same posture; It is also used to divide the human anatomical structure of the three-dimensional human-clothing measurement model and construct local measurement models under different anatomical parts; The index calculation module is used to calculate the clothing looseness corresponding to the local measurement model of each anatomical part based on the volume, upper surface area, lower surface area and height of the three-dimensional human body model corresponding to the local measurement model of each anatomical part, and the volume, upper surface area, lower surface area and fabric volume of the three-dimensional clothing model corresponding to the local measurement model of each anatomical part; and is used to calculate the clothing looseness uniformity index based on the clothing looseness corresponding to the local measurement model of each anatomical part, and evaluate the clothing looseness uniformity through the clothing looseness uniformity index.

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