Automatic generation method of cheongsam parameterized template for special body types of middle-aged and elderly people

Abstract

The invention discloses a method for automatically generating a cheongsam parameterized template for special body types of middle-aged and elderly people, and the method comprises the following steps: 1, constructing a body type analysis model, and outputting body type types corresponding to body type data, including common body types and special body types; step 2, establishing a cheongsam pattern according to the body type output in the step 1, parameterizing a cheongsam intermediate pattern for a common body type, and establishing a special body mannequin and generating a template for a special body type on the basis of easy vertical cutting of a 3D graph; and step 3, performing virtual fitting on the cheongsam pattern established in the step 2, and outputting a fitting effect of virtual fitting. According to the method for automatically generating the cheongsam parameterized template for the special body shape of the middle-aged and elderly people, the body shape characteristics of the middle-aged and elderly women are explored through the body shape data of the human body, and the correction of the special body shape template of the middle-aged and elderly people is converted into the adjustment of cheongsam structure data in a parameterized form, so that the manufacturing of the cheongsam for the middle-aged and elderly people is well realized.

Description

Technical Field

[0001] The invention relates to a cheongsam manufacturing method, and more specifically to a cheongsam parameterized template automatic generation method for special body shapes of middle-aged and elderly people. Background Art

[0002] As China's aging society accelerates, the middle-aged and elderly clothing consumption market is increasingly prosperous, and their demand for clothing shows a trend of personalization and quality. As a traditional Chinese dress, cheongsam is deeply loved by middle-aged and elderly women for its elegant and implicit oriental charm. From the perspective of human body function, the body shape of the middle-aged and elderly people has changed, and they have higher requirements for the functional comfort of clothing. However, the cheongsam samples on the market are mostly designed based on youth or standard body shapes, which is difficult to meet the particularity of the body shape of the middle-aged and elderly. Summary of the invention

[0003] In view of the deficiencies in the prior art, the object of the present invention is to provide a method for automatically generating parameterized cheongsam templates for the special body types of the middle-aged and elderly people, which can effectively meet the special body types of the middle-aged and elderly people.

[0004] To achieve the above object, the present invention provides the following technical solution: a method for automatically generating a parameterized cheongsam template for middle-aged and elderly people with special body shapes, characterized in that it includes the following steps:

[0005] Step 1: construct a body shape analysis model to receive the collected body shape data, identify and analyze the body shape data, and output the body shape type corresponding to the body shape data, including common body shape and special body shape;

[0006] Step 2: Create a cheongsam pattern according to the body type output in step 1. For ordinary body types, parameterize the cheongsam intermediate pattern. For special body types, build a special-body mannequin and generate a pattern based on 3D graphics.

[0007] Step three, virtually try on the cheongsam pattern created in step two, and output the virtual try-on effect.

[0008] As a further improvement of the present invention, the specific steps of constructing the body shape analysis model in step 1 are as follows: Step 1, calculate the minimum sample size by the following formula:

[0009]

[0010] Where N is the minimum sample size, u1-α / 2 is the confidence level statistic, the confidence level is 95%, u1-α / 2=1.96, cv is the coefficient of variation, p is the relative error, and the relative error is 2%;

[0011] Step 12: based on the minimum sample size calculated in step 11, collect a corresponding number of samples, and the sample items include age, characteristics and anthropometric items;

[0012] Step 13: Use SPSS software to analyze the sample data collected in step 1 and 2, including descriptive statistical analysis of the data; regression analysis and variance analysis of the data; cluster analysis and dimensionality reduction analysis of the data; time series analysis and modeling of the data; and visual analysis of the data;

[0013] Step 14: divide the data analyzed in step 13 into a training set, input it into the neural network for training, and then complete the construction of the body shape analysis model.

[0014] As a further improvement of the present invention, the common body type in the step one is obtained based on the national standard, including four body types: Y, A, B, and C. A chest-waist difference between 19 and 24 cm belongs to Y body type, 14 and 18 cm belongs to A body type, 9 and 13 cm belongs to B body type, and 4 and 8 cm belongs to C body type. The special body type is obtained through statistical analysis, including four body types: A, U, W, and V. Body type A refers to a body type in which the hip-waist difference falls within 13 to 16 cm and the chest-waist difference falls within 16 to 20 cm. The U-type body type refers to a body type in which both the chest circumference and the hip circumference are large, and the difference is close, the hip-waist difference falls within 4 to 7 cm, and the chest-waist difference falls within 4 to 8 cm. The W body type refers to a body type in which the chest-waist difference falls within 8 to 12 cm. The V body type refers to a body type in which the chest-waist difference falls within 10 to 13 cm, and the chest-waist difference falls within 12 to 16 cm.

[0015] As a further improvement of the present invention, the specific steps of establishing a cheongsam pattern for a normal body type in step 2 are as follows: first, the body pattern is made, then the standing collar pattern is made according to the size determination method, and finally the sleeve pattern is made, wherein the specific steps of the body pattern are as follows:

[0016] Step 21, select the B-type intermediate 160 / 88B as the basic template and input it into the plate making software;

[0017] Step 22, based on the basic pattern input in step 21, make a flat line through the pattern making software, so that the back collar depth is 2.5 cm, the back collar width is N / 5, and the length of the garment from the back collar depth down is 112 cm;

[0018] Step 2 and 3: Draw 23.5cm below the upper horizontal line to get the back chest line, the back chest B / 4-0.5=23cm, draw 37.5cm from the back neckline to get the waistline, draw 18cm below the waistline to get the hip line, the back hip H / 4-0.5=24.5cm, draw the knee line 38cm below the hip line;

[0019] Step 24: Draw the arc of the back collar, draw the shoulder diagonal line at 15:5 from the shoulder and neck point, draw the shoulder width line S / 2 horizontally from the back center line to the shoulder diagonal line, and find the shoulder end point on the shoulder diagonal line;

[0020] Step 25, draw the back width line S / 2-1.2 downward from the back center collar depth, and draw a vertical back width line below the shoulder diagonal line;

[0021] Step 26: Draw the back armhole arc and set a 0.5 cm back dart at the armhole. The back armhole dart is transferred to the back shoulder shrinkage, and the armhole arc and back shoulder line are drawn smoothly;

[0022] Step 27: Indent the side seam of the waistline by 1 cm, and move the hem 2 cm inward at the knee circumference. Draw the side seam line, and make a back dart at the center of the back waistline. The highest point of the dart is 4 cm on the bust line, and the bottom point of the dart is about 3 cm on the hip line. Adjust the dart shape to be an arc.

[0023] Step 28, make the basic line of the front piece: extend the chest line, waist line, hip line, knee line and length line horizontally, and raise the upper front line 1 cm higher than the upper back line;

[0024] Step 29: The upper horizontal line is N / 5+1 downward for the front collar depth, and the right front collar width is N / 5-0.6, and the neckline arc is drawn smoothly; at the shoulder and neck point, draw the front shoulder oblique line at 15:6, and measure the back small shoulder length minus the shrinkage length to determine the front shoulder sleeve point;

[0025] Step 20: Take 8.5cm of the bust line as the BP point, and make a 3.5cm bust prototype dart from the BP point as the dart tip. The front bust width is S / 2-2.7cm. Then find the auxiliary point and make the armhole arc.

[0026] Step 21: Draw the front side seam and front waist dart. The high point of the dart is 3 cm below the bust line, and the bottom point of the dart is about 3 cm below the hip line. Adjust the dart to an arc shape.

[0027] Step 22: Connect the BP point with a line 5 cm below the armpit, and adjust the dart point to 3.5 cm from the BP point. Move the chest dart to the armpit, and adjust the new dart point to 3.5 cm from the BP point.

[0028] The specific method of making a stand-up collar pattern with the fixed-size method is as follows: measure the length of the back collar hole and the length of the front collar hole, make a rectangle with the height of the collar base and the length of the front and back collar arcs, divide the length of the front and back collar holes into three equal parts, measure the collar mouth upturned to 2.5 cm, draw a vertical line at the upturned part with a length of 4 cm, make a stand-up collar shape according to the auxiliary lines, and draw all the lines smoothly;

[0029] The specific method of sleeve pattern making is: copy the front and back sleeve arc lines, take 4 / 5 of the average armhole depth upward from the side seam point as the sleeve cap height, take 2 cm as the amount of force, and get the sleeve width according to the front AH and the back AH, and adjust the matching relationship between the sleeve width and the sleeve cap height. Divide the back sleeve width line into three equal parts, and the front sleeve width line into four equal parts. Draw the sleeve cap arc line through the top point of the sleeve cap and each auxiliary point, draw it smoothly and measure whether the front and back sleeve cap arc lengths match the current armhole arc length, and draw it smoothly and adjust it; the sleeve length is 18 cm, so that the cuff is at a right angle to the sleeve bottom seam, and it is reversed. The bottom of the back sleeve cap drops 0.5 cm to ensure that the front and back sleeve bottom seams are equal.

[0030] As a further improvement of the present invention, the specific method of parameterizing the cheongsam intermediate paper pattern in the step 2 is to use height, length, neck circumference, chest circumference, waist circumference, hip circumference, and shoulder width as independent variables to represent other dimensions, and set them as dimension parameters. By comparing and analyzing the W body pattern with the B body basic pattern, the coordinates of the key points in the pattern structure line are defined, the offset of the key points of the W body pattern is obtained, and the parametric relationship between the corrected W body cheongsam pattern and the characteristic parts of the human body is established.

[0031] As a further improvement of the present invention, the specific method of constructing a special-body mannequin and generating a sample based on 3D Tuyi Licai in step 2 is: in the mannequin size editing column of the 3D Tuyi Licai software, the basic data of the B-type intermediate body is input to obtain the B-type intermediate body mannequin, the basic data of the W-type body is input to obtain the special-body mannequins of the four experimental groups of the W-type body, and then the body, collar, sleeves, and darts are drawn on the mannequin according to the cheongsam style, and finally the cheongsam sample in DXF format is exported.

[0032] As a further improvement of the present invention, the specific method of performing parametric correction on the W body shape in the step 2 is: first, the intersection of the waistline and the front center line is taken as the overlapping origin, and four sets of front and back body samples of the W body shape are superimposed in turn, and the increase and decrease of each key point compared with the intermediate body of the B body shape are measured respectively, and then the regression relationship of the parameters of each part of the corrected sample can be obtained according to the correction data of the W body shape experimental group, and the W body shape is parametrically corrected using the regression relationship.

[0033] As a further improvement of the present invention, the specific method of performing virtual fitting in step 3 is: importing the cheongsam sample in DXF format finally exported in step 2 into Style3D virtual fitting software, and testing the dressing effect of the cheongsam sample, and then analyzing the dressing effect of the cheongsam sample from the fitting diagram, stress diagram, strain diagram, etc. Figure 3 The effect evaluation and structural analysis were carried out in three dimensions to test the rationality of the cheongsam sample structure for W's special body shape.

[0034] The beneficial effect of the present invention is that the SPSS data analysis is performed on the sizes of various parts of the human body of the data samples of middle-aged and elderly women, the special body types of middle-aged and elderly women are reclassified, and the W special body type experimental group is set according to the body type classification for standing pattern making, and the experimental group sample is compared and analyzed with the B body type basic sample, and the coordinate offset of the W special body type cheongsam sample parameters of middle-aged and elderly women is obtained. Finally, through analysis and summary, the regression relationship between the sizes of various key parts of the cheongsam is obtained, so that the middle-aged and elderly W special body type cheongsam sample is corrected, and the parameter regression relationship of the corrected sample is obtained. Finally, the rationality of the parameterized relationship of the corrected sample is tested by Style3D virtual fitting. The body type characteristics of middle-aged and elderly women are explored through multi-angle analysis of human body type data, and the correction of the middle-aged and elderly special body type sample is converted into the adjustment of cheongsam structure data in a parametric form, which has reference value for the subsequent sample research of the special body type of middle-aged and elderly cheongsam, and provides reference significance for the structural design of middle-aged and elderly cheongsam products. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is the scatter plot of the average distribution of the thoracolumbar difference;

[0036] Figure 2 It is the scatter plot of the average distribution of hip-waist difference;

[0037] Figure 3 This is a diagram of the basic pattern of cheongsam for body type B;

[0038] Figure 4 This is a schematic diagram of the coordinate codes of key points of the B-type basic template;

[0039] Figure 5 A schematic diagram of the interface for setting the size of a mannequin for 3D image editing;

[0040] Figure 6 Schematic diagram of the cheongsam samples for the four experimental groups of W body types;

[0041] Figure 7 This is a simulated fitting diagram. DETAILED DESCRIPTION

[0042] The present invention will be further described below in detail with reference to the embodiments shown in the accompanying drawings.

[0043] Reference Figures 1 to 7 As shown, the method for automatically generating a parameterized cheongsam template for the special body types of the middle-aged and elderly in this embodiment includes the following steps:

[0044] Step 1: construct a body shape analysis model to receive the collected body shape data, identify and analyze the body shape data, and output the body shape type corresponding to the body shape data, including common body shape and special body shape;

[0045] Step 2: Create a cheongsam pattern according to the body type output in step 1. For ordinary body types, parameterize the cheongsam intermediate pattern. For special body types, build a special-body mannequin and generate a pattern based on 3D graphics.

[0046] Step three, virtually try on the cheongsam pattern created in step two, and output the fitting effect of the virtual try-on. Through the settings of steps one to three above, it is possible to effectively guide the production of cheongsam by analyzing the body shapes of middle-aged and elderly people, thereby avoiding the problem of the cheongsam not fitting well in the prior art due to the body shapes of middle-aged and elderly people.

[0047] The above steps 1 to 3 are further described below:

[0048] Step 1: construct a body shape analysis model to receive the collected body shape data, identify and analyze the body shape data, and output the body shape type corresponding to the body shape data, including ordinary body shape and special body shape. The specific content of this step is:

[0049] Sample size determination

[0050] In scientific research activities, accurate sample selection is a crucial step, which is directly related to the reliability of research conclusions and the effective use of research resources. This study adopted a random sampling method to ensure the representativeness of the sample. In order to determine the minimum number of samples required to achieve the research objectives, we used a specific mathematical formula to calculate the minimum sample size, as shown in Formula 3-1. This strategy aims to ensure the accuracy of the research while maximizing the use of resources.

[0051]

[0052] Wherein, N is the minimum sample size, u1-α / 2 is the confidence level statistic, the confidence level of this embodiment is 95%, u1-α / 2=1.96, cv is the coefficient of variation, p is the relative error, and the relative error is 2% (the principle of taking the value of the relative error is: 1%-2% for major scientific research projects, 3%-4% for general scientific research projects, and 5% for industrial production). The dimensions of key parts of the human body are selected to calculate the minimum sample size, and the sample size calculated by weight is the largest, with 172 people. Taking into account the possibility of invalid samples, the sample is expanded on the basis of the minimum sample size, and the number of samples in this embodiment is finally determined to be 200.

[0053] Data measurement items

[0054] This project mainly studies the body shape characteristics of the torso of middle-aged and elderly women, and draws a cheongsam sample. In addition to age and characteristics, anthropometric measurements are concentrated on key parts of the human torso. Other measurement items are shown in Table 3-1.

[0055] Table 3-1 Anthropometric measurements

[0056]

[0057] Data analysis methods

[0058] SPSS software can be widely used in multiple statistical analysis fields. It has a powerful ability to handle a variety of complex data and provides a rich variety of statistical analysis tools, including but not limited to the following common methods: descriptive statistical analysis of data; regression analysis and variance analysis of data; cluster analysis and dimensionality reduction analysis of data; time series analysis and modeling of data; visualization analysis of data, etc.

[0059] Descriptive statistical analysis in SPSS software is one of the basic functions, which is mainly used for preliminary analysis and summary of data. Descriptive statistical analysis includes the calculation of various statistical data, such as mean, median, mode, standard deviation and variance, etc. It can also visualize the distribution and key features of data, such as histograms, pie charts, box plots, etc. Through the application of these analysis tools and indicators, it can provide strong support for researchers to intuitively understand data and conduct in-depth analysis and research.

[0060] Factor analysis and cluster analysis can group objects with related characteristics. The factor analysis provided by SPSS software has these characteristics. Cluster analysis classifies objects with similar characteristics. These two methods are commonly used analytical methods in the field of data analysis. By using these two analytical methods, the potential structure or rules in the data set can be revealed. Because the two analytical methods complement each other.

[0061] Correlation analysis and regression analysis are statistical analysis methods for studying the mutual influence between variables and the relationship between one or more independent variables and dependent variables. These methods can be used to establish mathematical models to describe the interaction between variables and predict the dependent variable. For example, when performing correlation analysis, various statistics such as the Pearson coefficient and the Spearman coefficient can be used to evaluate the linear or nonlinear correlation between variables and reveal relevant information such as the possible paths and degree of their mutual influence.

[0062] This embodiment selects a suitable analysis model for data analysis and research based on the needs of cheongsam sample research and combined with relevant statistical theoretical knowledge.

[0063] Through statistical analysis of the height data of middle-aged and elderly women, it can be seen that as they age, the height of middle-aged and elderly women tends to decrease due to physiological factors such as osteoporosis, lumbar disc herniation and changes in body shape. Data shows that the average height of young Chinese women is 163.5cm. From the analysis of sample data, it can be found that the average height of middle-aged and elderly women aged 50-65 is 157.5cm, which is lower than that of young women.

[0064] Through statistical analysis of the data obtained from the measurement of key parts of middle-aged and elderly women, it can be seen that the chest circumference is mostly distributed in the range of 85-95cm, accounting for 54% of the total sample, of which 85-90cm accounts for a significant proportion; waist circumference is concentrated in the range of 65-85cm, accounting for 79% of the total sample, of which 75-85cm accounts for a significant proportion; hip circumference is concentrated in the range of 85-95cm, accounting for 64% of the total, of which 90-95cm accounts for a significant proportion; compared with the standard body shape of young women (160 / 84A), the body shape of middle-aged and elderly women has changed significantly, and the size of each part has a trend of increasing significantly to varying degrees. This shows that with the increase of age, the metabolic capacity of middle-aged and elderly people decreases, and the accumulation of fat in the body is greater than the consumption, resulting in a significant increase in the circumference of the chest, waist and hips.

[0065] According to the national standard, there are four types of body types: Y, A, B, and C. The chest-waist difference between 19 and 24 cm belongs to the Y body type, between 14 and 18 cm belongs to the A body type, between 9 and 13 cm belongs to the B body type, and between 4 and 8 cm belongs to the C body type. The average chest-waist difference of 200 middle-aged and elderly women aged 50 to 65 is calculated by age. Figure 1 As shown, it can be seen that except for a maximum value and a minimum value, the chest-waist difference of middle-aged and elderly people is concentrated in 9 to 13 cm, indicating that the overall body shape of middle-aged and elderly women belongs to body type B, which is a slightly fat body shape.

[0066] The hip-waist difference of the average Chinese female body type of 160 / 84A is 6cm. In comparison, the hip-waist difference of middle-aged and elderly women is significantly larger. Figure 2 As shown in the figure, the hip-waist difference of middle-aged and elderly women is roughly distributed between 12 and 14 cm and has a high coverage rate. The increase in the hip-waist difference means that the hip circumference of middle-aged and elderly women is larger than the waist circumference, and there is fat accumulation in the abdomen. In addition, considering that middle-aged and elderly women belong to the B body type, it can be concluded that the overall body shape of this group has a certain tendency to be obese.

[0067] This study uses SPSS27 for mathematical statistical analysis, including descriptive statistical analysis, cluster analysis, factor analysis, correlation analysis, and regression analysis. Among them, descriptive statistical analysis is used to explore the distribution and discreteness of various data on human body shape; cluster analysis is used to explore the classification of human body shape and to divide human body shape characteristics more scientifically; factor analysis is used to reduce the dimension of human feature data, summarize the variables with high correlation into an independent factor, and use a small number of independent factors to describe the original data set. Each factor can be regarded as a linear combination of the original variables to study the overall characteristics of human body shape; correlation analysis is used to explore the correlation between data; regression analysis is used to explore the implicit rules between variables, and establish the functional relationship between two groups of related variables, providing a data basis for the establishment of the prototype of cheongsam for middle-aged and elderly people.

[0068] Descriptive statistical analysis

[0069] When conducting descriptive statistical analysis on data, in addition to using the maximum value, minimum value, mean value, standard deviation, variance, and kurtosis to describe the concentration and dispersion of variables, and using skewness to describe the asymmetry of sample data distribution, the coefficient of variation is also used to describe the degree of dispersion between different samples. The specific data is shown in Table 3-2. The coefficient of variation = standard deviation ÷ mean value × 100%.

[0070] Table 3-2 Descriptive statistical analysis

[0071]

[0072] Table 3-2 Descriptive statistical analysis

[0073]

[0074]

[0075] From the above table, we can see that among the data directly obtained from human body measurement, the coefficient of variation of the front and back waist difference, waist-hip difference, and chest-waist difference is the largest, that is, the data is more discrete; the coefficient of variation of height, cervical point height, and waist height is the smallest, that is, the data is less discrete. From the above table, we can see that the coefficient of variation of the horizontal circumference data is larger than that of the vertical height data, that is, the difference in height between different human bodies is smaller than the difference in circumference.

[0076] Cluster analysis

[0077] It can be seen from Table 3-2 that the coefficient of variation of the anterior-posterior waist difference, waist-hip difference, and thoraco-waist difference is the largest. Therefore, the waist difference, waist-hip difference, and thoraco-waist difference are used to divide the human body shape respectively, and the K-means cluster analysis method is used for preliminary clustering. The variance analysis in Table 3-3 shows that the P value of the anterior-posterior waist difference among the three variables is greater than 0.05, indicating that the anterior-posterior waist difference has no effect on the clustering result. Therefore, the waist-hip difference and thoraco-waist difference are clustered and analyzed to obtain the final four groups of cluster centers, as shown in Table 3-4. From the values ​​of the four cluster centers, it can be seen that the thoraco-waist difference of the 200 groups of data is most likely to fall within the range of 4-20 cm, while the waist-hip difference is within the range of 4-16 cm.

[0078] Table 3-3 Analysis of variance

[0079]

[0080] Table 3-4 Final cluster centers

[0081]

[0082] Table 3-5 Number of cases in each cluster

[0083]

[0084] As shown in Table 3-5 above, there are 20 groups of data in Category 1, 28 groups in Category 2, 127 groups in Category 3, and 25 groups in Category 4. Category 3 data accounts for the largest proportion, accounting for 63.5% of the total data, indicating that Category 3 data is representative among all data. The results of cluster analysis will help in the subsequent classification of special body shapes of middle-aged and elderly people.

[0085] Factor Analysis

[0086] The original 20 basic data of human body shape were subjected to factor analysis, and KMO and Bartlette were used to test whether the variables were suitable for factor analysis, and the factor loading of each principal component on the observed variable was more concentrated through rotation transformation. The results of KMO and Bartlette tests are shown in Table 3-6 below. The KMO sampling suitability index is 0.861 (greater than 0.7), and the significance of Bartlett's sphericity test is 0.00 (less than 0.05), indicating that this group of data is suitable for factor analysis.

[0087] Table 3-6 KMO and Bartlett's test

[0088]

[0089] The eigenvalue range corresponding to the line changing from steep to smooth is 3 to 5, indicating that the number of reference extraction factors falls within this range. Considering the human body characteristics and Table 3-7, it is more scientific to take 4 as the extraction factor.

[0090] Table 3-7 Total variance explained

[0091]

[0092]

[0093] It can be seen from Table 3-7 above that the variance explanation rates of the four factors extracted this time after rotation are 38.827%, 15.132%, 14.190% and 6.518% respectively, and the cumulative variance explanation rate after rotation is 74.667% (greater than 60%), indicating that the four factors can extract 74.667% of the information of the 20 analysis items, so all factors can be classified into 4 categories. Table 3-8 Rotated component matrix

[0094]

[0095] Continued 3-8 Rotated component matrix

[0096]

[0097] Extraction method: principal component analysis. Rotation method: Kaiser normalization varimax method.

[0098] a. The rotation has converged after 5 iterations.

[0099] In order to name the four factors, the component matrix is ​​rotated. Coordinate rotation does not lose information, but only separates the focus of each factor. From Table 3-8 above, we can see that the first factor mainly describes the circumference variables such as chest circumference, underbust circumference, waist circumference, and hip circumference; the second factor has a strong ability to express the three variables of waist height, height, and cervical point height; the third factor mainly describes the back length and the length of the front and back waist sections; the fourth factor mainly represents age. In summary, the first factor can be named the circumference factor, the second factor can be named the height factor, the third factor can be named the length factor, and the fourth factor can be named the age factor.

[0100] The data of basic indicators of the body shape of middle-aged and elderly women were statistically analyzed, and the final statistical results were: the average height of middle-aged and elderly women aged 50 to 65 is 157.5 cm; the chest circumference of middle-aged and elderly women is mostly distributed in the range of 85 to 90 cm; the waist circumference of middle-aged and elderly women is mostly distributed in the range of 75 to 85 cm; the hip circumference of middle-aged and elderly women is mostly distributed in the range of 90 to 95 cm. In summary, from the perspective of circumference, middle-aged and elderly women aged 50 to 65 have a tendency to gradually become obese; from the perspective of height, the height of middle-aged and elderly women tends to decrease with age.

[0101] According to statistical analysis, the average chest-waist difference of middle-aged and elderly women is distributed in the range of 9 to 13 cm, and the average hip-waist difference is distributed in the range of 12 to 14 cm. Compared with the body shape of young women, the overall circumference of middle-aged and elderly women is significantly increased. Due to the different growth trends of various parts, different special body shapes are formed, but generally speaking, they belong to body type B. The growth trends of the parts from chest to hip are different, forming a special body shape with a complex form.

[0102] The results of descriptive statistical analysis show that the difference in height between different human bodies is smaller than the difference in circumference. Therefore, when studying the body characteristics of elderly women, the circumference data of the human body should be analyzed. The results of factor analysis show that all size data can be summarized by four factors, namely circumference factor, height factor, length factor and age factor. Combined with the results of cluster analysis and descriptive analysis, the human body shape can be divided into four categories according to the chest-waist difference and hip-waist difference. Considering the complex type of special body shape of middle-aged and elderly women, according to the results of cluster analysis, the special body shape of middle-aged and elderly women is divided into four categories: A type, U type, W type and V type, which correspond to cluster types 1, 2, 3 and 4. Body shape A refers to the body shape with a hip-waist difference of 13 to 16 cm and a chest-waist difference of 16 to 20 cm. The U-type body type refers to a body type with a large chest and hip circumference, and the difference is close. The hip-waist difference is within 4 to 7 cm, and the chest-waist difference is within 4 to 8 cm. If the chest-waist difference of the U-type body type is compared with the national standard body type classification standard, it belongs to the fat body, and the fat is mainly accumulated in the lower body, that is, near the hips, legs and hip joints. The W-type body type refers to a body type with a chest-waist difference of 8 to 12 cm, and a chest circumference slightly larger than the hip circumference, indicating that the fat of this body type is mainly accumulated in the upper body, with waist and abdomen obesity being the most typical. The V-type body type refers to a body type with a chest-waist difference of 10 to 13 cm, and a chest-waist difference of 12 to 16 cm. Compared with the national standard body type classification, this body type is close to the standard body. However, the W-type body type accounts for the largest proportion of sample data, up to 62.5%. Therefore, the subsequent pattern making and analysis of this special body type is used as the research basis for the revision of the cheongsam sample for middle-aged and elderly people

[19] . The special body type classification of this embodiment is shown in Table 3-9.

[0103] Table 3-9 Classification of special body types in this embodiment

[0104]

[0105] Step 2: Create a cheongsam pattern based on the body type output in step 1. For ordinary body types, parameterize the cheongsam intermediate pattern. For special body types, build a special body mannequin and generate a pattern based on 3D Tuyi Licai. From the above analysis, it can be seen that body type B accounts for the largest proportion in the data samples of middle-aged and elderly people. Therefore, the B body type intermediate 160 / 88B is selected as the basic template for subsequent research on the structural optimization of cheongsam templates for special body types. The net body dimensions of the key parts of the B body type intermediate are: h (height) = 160 cm, B* = 88 cm, W* = 78 cm, H* = 96 cm. Garment size design: L (length) = 112 cm, B (bust) = B*+6 = 94 cm, W (waist) = W*+2 = 80 cm, H (hip) = H*+4 = 100 cm, back length = 37.5 cm, N (neck) = 38 cm, S (shoulder width) = 38 cm, SL (sleeve length) = 18 cm, chest-waist difference is 14 cm, side seams are 1 cm each, back waist darts are 2.5 cm each, front waist darts are 1.5 cm each. Steps for making the body pattern:

[0106] Step 1: Make the upper flat line, the back collar is 2.5 cm deep, the back collar width is N / 5 (7.6 cm), and the length of the clothes from the back collar down is 112 cm.

[0107] Step 2: 23.5cm below the upper horizontal line is the back chest line, the back chest B / 4-0.5=23cm, and the waistline is drawn from the back collar depth line 37.5cm below the back length. The hip line is drawn 18cm below the waistline, the back hip H / 4-0.5=24.5cm, and the knee line is drawn 38cm below the hip line.

[0108] Step 3: Draw the arc of the back collar, and draw the shoulder diagonal line at 15:5 from the shoulder and neck point. Draw the shoulder width line S / 2 (19 cm) horizontally from the back center line to the shoulder diagonal line, and find the shoulder end point on the shoulder diagonal line.

[0109] Step 4: Draw the back width line S / 2-1.2 (17.8 cm) downward from the depth of the back center collar, and draw a vertical back width line below the shoulder diagonal line (the shoulder impact is 1.2 cm).

[0110] Step 5: Draw the back armhole arc line and set a 0.5 cm back dart at the armhole. Move the back armhole dart to the back shoulder seam and draw the armhole arc line and back shoulder line.

[0111] Step 6: Indent the side seam of the waistline by 1 cm, and the hem is 2 cm forward at the knee circumference, and draw the side seam line. Make a back waist dart at the center of the back waistline, with the highest point of the dart at 4 cm on the bust line and the bottom point of the dart at about 3 cm on the hip line, and adjust the dart shape to be an arc.

[0112] Step 7: Make the basic line for the front piece: extend the chest line, waist line, hip line, knee line and length line horizontally, and raise the upper front line 1 cm higher than the upper back line.

[0113] Step 8: The upper horizontal line is N / 5+1 (8.6 cm) downward for the front collar depth, and the right front collar width is N / 5-0.6 (7 cm), and draw the arc of the collar. Draw the front shoulder oblique line at the shoulder and neck point at 15:6, and measure the back small shoulder length minus the shrinkage length to determine the front shoulder sleeve point.

[0114] Step 9: Take 8.5 cm of the bust line as the BP point, and make a 3.5 cm bust prototype dart from the BP point as the dart tip. The front chest width is S / 2-2.7 (16.3) cm. Then find auxiliary points and make the armhole arc.

[0115] Step 10: Draw the front side seam line and front waist dart. The high point of the dart should be 3 cm below the bust line and the bottom point of the dart should be about 3 cm below the hip line. Adjust the dart to be in an arc shape.

[0116] Step 11: Connect the BP point with the 5cm line below the armpit, and the dart point should be 3.5cm away from the BP point. Transfer the chest dart to the armpit, and adjust the new dart point to be 3.5cm away from the BP point.

[0117] Steps for making a stand-up collar using the size-fixing method: measure the length of the back collar hole and the length of the front collar hole, use the collar base height (5 cm) and the length of the front and back collar arcs to make a rectangle, divide the front and back collar hole lengths into thirds, measure the collar mouth upturned to 2.5 cm, draw a vertical line at the upturned part with a length of 4 cm, make a stand-up collar shape according to the auxiliary lines, and draw all the lines smoothly.

[0118] Sleeve pattern making steps: copy the front and back sleeve arcs, take 4 / 5 of the average armhole depth from the side seam point upward as the sleeve cap height, take 2 cm as the amount of force, and calculate the sleeve width according to the front AH and back AH, and adjust the matching relationship between the sleeve width and the sleeve cap height. Divide the back sleeve width line into three equal parts, and the front sleeve width line into four equal parts. Draw the sleeve cap arc through the sleeve cap point and each auxiliary point, draw smoothly and measure whether the front and back sleeve cap arc lengths match the current armhole arc length, and draw smoothly and adjust. The sleeve length is 18 cm, so that the cuff is at a right angle to the sleeve bottom seam, and it is warped in the opposite direction. The bottom of the back sleeve cap drops 0.5 cm to ensure that the front and back sleeve bottom seams are equal. The pattern is as follows Figure 3 shown.

[0119] Three-dimensional cutting is the main way for women to customize a set of well-fitting dresses. The main dimensions of a dress tailored for women are height, length, chest circumference, waist circumference, hip circumference, and back width. Traditional handmade cheongsams require more full-body sizes, while modern cheongsams are relatively simplified. Through the processing and analysis of human body data, this embodiment finds that there is a certain linear relationship between the dimensions of certain parts of the human body and height and chest circumference. Therefore, this embodiment uses height, length, neck circumference, chest circumference, waist circumference, hip circumference, shoulder width, etc. as independent variables to represent other dimensions, and sets them as size parameters. In combination with the characteristics of the parts involved, a paper pattern is designed, and the basic detailed dimensions required for the structural drawing of the cheongsam garment piece are parameterized as shown in Table 4-1.

[0120] Table 4-1 Parameterized setting of cheongsam size

[0121]

[0122] Through comparative analysis of the W-body pattern and the basic B-body pattern, the coordinates of the key points in the pattern structure line are defined, the offset of the key points of the W-body pattern is obtained, and the parametric relationship between the corrected W-body cheongsam pattern and the characteristic parts of the human body is established. In the parametric cheongsam pattern of different body characteristics, attributes such as bust, waist, and hips are all key influencing factors. Mathematical relationships between other characteristic parts and them can be established according to the definition, and a linkage relationship can be generated with the clothing pattern. Taking the basic B-body pattern as an example, each key point of the pattern body is marked with a designated code. Figure 4 For a specific example.

[0123] The body of the garment is divided into two parts, front and back. The waistline, armhole depth, front and back shoulder slopes, front chest width and back width determine the overall silhouette of the cheongsam. However, the silhouette can be adjusted according to the style and body shape. For example, the back width of the cheongsam is related to the chest circumference. The relationship is: back chest line = 1 / 4 chest circumference - 0.5, back width = 1 / 4 chest circumference - 0.5cm, back hip circumference = 1 / 4 hip circumference - 0.5cm. Therefore, for people of different body shapes, after modifying important parameters such as chest circumference, waist circumference, hip circumference, shoulder width, neck circumference, etc. in the size settings, the paper pattern will change accordingly.

[0124] Mark the coordinates of key points on the back piece of the cheongsam sample, with O1 as the coordinate origin (0, 0), the vertical coordinate of A01 is the back length, the vertical coordinate of B01 is the back length minus the length of the garment, the horizontal coordinate of C01 is 1 / 4 waist circumference - 0.5, the horizontal coordinate of D01 is 1 / 4 hip circumference - 0.5, the horizontal coordinate of F01 is 1 / 4 chest circumference - 0.5, etc. The parameterized relationships of the structural points on the back and front pieces of the cheongsam sample are shown in Tables 4-2 and 4-3 respectively.

[0125] Table 4-2 Parametric constraint relationships of each structural point in the front piece

[0126]

[0127] Table 4-3 Parametric constraint relationships of each structural point in the front piece

[0128]

[0129]

[0130] Based on the above analysis, the chest-waist difference of the special body type W falls within the range of 10-13 cm, and the waist-hip difference falls within the range of 12-16 cm. Therefore, four groups of test data are selected to establish the cheongsam sample, and compared with the 160 / 88B basic sample for comparison and analysis. The experimental basic data are all set with the human body size, the height is 160 cm, the waist circumference is kept unchanged, and the chest circumference and hip circumference are changed to meet the range of the chest-waist difference and waist-hip difference of the W body type. The four groups of experimental data are shown in Table 5-1.

[0131] Table 5-1 Experimental basic data settings (unit: cm)

[0132]

[0133] The chest allowance of the cheongsam sample is 6 cm, the waist allowance is 2 cm, and the hip allowance is 4 cm. The dart distribution ratio is set according to the chest-waist difference with the added allowance, and the back waist allowance is greater than the front waist allowance as much as possible. Taking 1 / 4 body as an example, the dart distribution principle is shown in Table 5-2.

[0134] Table 5-2 Experimental data distribution of darts (unit: cm)

[0135]

[0136] In terms of other data settings: considering the characteristics of human body shape, the shoulder width is adjusted. The shoulder width of experimental group 1 is 39 cm, and the other groups increase by 1 cm. The shoulder width of experimental group 2 is 40 cm, the shoulder width of experimental group 3 is 41 cm, and the shoulder width of experimental group 4 is 42 cm. As the shoulder width changes, the front chest width and back width also change accordingly. The front chest width = 1 / 2 shoulder width - 1.2, and the back width = 1 / 2 shoulder width - 2.7. The collar circumference is 38 cm, the length of the garment is 112 cm, and the sleeve length is 18 cm. The principles of setting other data are the same as the basic template.

[0137] In the 3D 3D 3D Cutter software, enter the basic data of the B-type intermediate figure, and you will get the B-type intermediate figure. Figure 5 As shown, the four experimental groups of W-shaped special mannequins can be obtained in the same way, and then the body, collar, sleeves, darts, etc. are drawn on the mannequin according to the cheongsam style, and finally the cheongsam sample in DXF format is exported, as shown in the figure below. Figure 6 shown.

[0138] The four experimental cheongsam samples were compared with the 160 / 88B basic cheongsam sample, as follows Figure 5 It is expected that by comparing the changes in the bust, waist and hip circumferences, we can analyze the size changes in other parts of the sample, as well as the relationship between the most obvious size data and the bust, waist and hip circumferences.

[0139] The cheongsam samples of experimental group 1, experimental group 2, experimental group 3, and experimental group 4 were compared with the basic sample, where the black line is the basic sample of B body type, the pink line is the sample of experimental group 1 of W body type, the blue line is the sample of experimental group 2 of W body type, the orange line is the sample of experimental group 3 of W body type, and the green line is the sample of experimental group 4 of W body type. By comparison, it can be seen that the length and back length of the experimental group samples are unchanged compared with the basic sample because the height is 160 cm; the chest-waist difference and hip-waist difference also increase with the increase in circumference; the dimensions that change with the chest circumference are shoulder width, front chest width, back width, and cuff width; the waist dart needs to be redistributed due to the change in chest-waist difference, and other dimensions remain unchanged.

[0140] Compared with the basic model of body type B, the armhole arc of the model of experimental group 1 is longer, resulting in a lower sleeve cap height, a slightly larger sleeve fat, an increase of 1 cm in shoulder width, an increase in the curvature of the side seam curve, and a change in the position and size of the dart. These changes are related to the change in chest circumference, so the parameter relationship between the sleeve cap height, sleeve fat, shoulder width and chest circumference can be established. The model of experimental group 2 has a longer armhole arc than the basic model of body type B, a lower sleeve cap height, a slightly larger sleeve fat, an increase of 2 cm in shoulder width, and a smaller curvature of the side seam curve. The model of experimental group 3 has a higher sleeve cap height, a smaller sleeve fat, an increase of 3 cm in shoulder width, a smaller curvature of the side seam curve, and a change in the position and size of the dart. The model of experimental group 4 has a longer armhole arc than the basic model of body type B, a lower sleeve cap height, a slightly larger sleeve fat, an increase of 4 cm in shoulder width, and a decrease in hip circumference, so the curvature of the side seam curve also becomes smaller. In summary, as the circumference size changes, the cheongsam body pattern will also change, so the parametric relationship of the pattern structure points can be established according to the coordinate changes.

[0141] Step 3: Virtually try on the cheongsam pattern created in step 2, and output the virtual fitting effect. In this embodiment, the 3D Easy Cut software is used to draw and modify the cheongsam sample, and then the DXF format is exported and imported into the Style3D virtual fitting software to test the dressing effect of the cheongsam sample. Figure 3 The effect evaluation and structural analysis were carried out in three dimensions to test the rationality of the cheongsam sample structure for W's special body shape.

[0142] Virtual fitting can realistically simulate the effect of clothing on the human body, especially for well-fitting clothing such as cheongsam. It can more clearly guide the relationship between clothing and the human body from fitting pictures, stress diagrams, and strain diagrams. Fitting pictures can intuitively show the effect of virtual fitting, stress diagrams show the pressure on clothing, and strain diagrams show the stretching of clothing due to stress. Figure 7 Shown are the fitting pictures, stress diagrams, and strain diagrams of the four experimental cheongsam samples of the W-shaped body and the 160 / 88B intermediate basic cheongsam sample. Figure 3Comparison of virtual try-on effects of the views.

[0143] The color of the clothing displayed on the human fitting diagram is used to distinguish the pressure of the clothing on the human body. The depth of the color represents the pressure. Usually green represents low pressure, red represents high pressure, and the orange-yellow color between the two represents medium pressure. The greater the pressure, the worse the comfort of the clothing. According to the above table, the 4 sets of cheongsam sample fittings for B body type 160 / 88B and W body type all have good results. Both the fitting diagram and the stress diagram show that the pressure of this set of cheongsam samples is medium to low, and the relaxation of each part is within a reasonable range. In the strain diagram, the main body of the clothing presents a large area of ​​green, and the overall shape is relatively loose and free, which meets the standard of human comfort. This shows that the construction of the parameterized relationship of the W-shaped cheongsam in this embodiment is reasonable, and the feasibility of the parameterized relationship is verified. Before trying on, a standard image size is set, and the user is required to enter the height data. Then, the standard image size is used to shoot the front, side and back images of the user trying on the clothing through the camera. After that, the front, side and back images obtained by the shooting are subjected to edge recognition, and the edges of the human body in the front, side and back images are identified. Then, it is determined whether the edge reaches the edge of the image. If it reaches the edge, the image is discarded, and a reminder window pops up to remind the user to reshoot. After all the images are qualified, the front image, the back image and the side image are overlapped to determine whether the upper and lower ends of the overlapped body edges overlap. If two images overlap and the other image does not overlap, it means that the shooting angle deviation of the non-overlapping image is too large, and the image is discarded, and a reminder window pops up to remind the user to reshoot. If all three do not overlap with each other, a standard image of the user's corresponding height data is selected for comparison, and images with a degree of overlap greater than the preset overlap range are selected as qualified images. The rest are judged as unqualified images, and then the images are discarded, and a reminder window pops up to remind the user to reshoot. In this way, through the above-mentioned collection waterproofing, it can be effectively guaranteed that the user's body image finally collected is more accurate and reliable.

[0144] In summary, the method for automatically generating parametric cheongsam patterns for the special body types of the middle-aged and elderly in this embodiment aims to establish a corrected regression relationship for cheongsam patterns for the special body types of the middle-aged and elderly. Five parts of research are carried out. First, the reasons for the changes in the body types of the middle-aged and elderly are analyzed by searching for data and the basic styles of cheongsam are determined. Second, multi-dimensional analysis is performed on the sample data of middle-aged and elderly women and body types are classified. Third, the W body type size of the virtual mannequin is set using the TuYi LiCai software and the pattern is cut. Fourth, the parametric relationship of the key parts of the W cheongsam pattern is established after the size correction. Fifth, the Style3D software is used for virtual fitting to verify the rationality of the W body type pattern. The details are as follows:

[0145] (1) Research on the body shape of middle-aged and elderly women and the basic pattern of cheongsam

[0146] By consulting the literature, we know that the research on the body shape of middle-aged and elderly women at home and abroad covers multiple aspects, such as the analysis of the law of body shape changes with age, the effect evaluation of body shape and clothing adaptability, and the establishment of special body shape classification standards. With the acceleration of the aging process, the demand for the personalization and comfort of cheongsam by middle-aged and elderly women is also increasing. The research on the modification of cheongsam sample parameters for special body shapes of middle-aged and elderly women is helpful to launch cheongsam that better fits the body shape characteristics of middle-aged and elderly women, and meets their pursuit of beauty and actual wearing needs.

[0147] (2) Data analysis and body type classification of middle-aged and elderly women

[0148] Through SPSS analysis of the body data of middle-aged and elderly women, from the perspective of circumference, there is a trend of gradual obesity in middle-aged and elderly women aged 50 to 65; from the perspective of height, the height of middle-aged and elderly women has a decreasing trend with age, and the distribution of chest-waist difference and waist-hip difference shows that middle-aged and elderly women generally belong to body type B. Descriptive statistical results show that the changes in the body shape of middle-aged and elderly women are mainly reflected in circumference. Factor analysis shows that all measurement items can be summarized by 4 types of factors. Combined with the results of cluster analysis, the 200 groups of body data can be divided into four categories. In summary, the special body types of middle-aged and elderly women are divided into four types: A type, U type, W type, and V type.

[0149] (3) Setting of body shape data, generation and modification of templates for virtual human bodies

[0150] According to the results of data analysis and body type classification, the cheongsam pattern was drawn. The 3D Tuyi Licai software was used to set the mannequin size to the 160 / 88B body type intermediate. At the same time, four W body type experimental groups were set up to modify the basic size respectively, so as to control the body type of the mannequin. The cheongsam pattern was made on the mannequin with special body type, and the cheongsam pattern was exported in DXF format.

[0151] (4) Establishment of parameterized relationship of key parts after correction

[0152] The coordinates of the key points in the template are defined in the B-body basic template, and the template parameterization relationship is established. Through the comparative analysis of the W-body template and the B-body basic template, the offset of the key points of the W-body template is obtained, and finally the parametric regression relationship of the modified W-body cheongsam template is established.

[0153] (5) 3D virtual fitting verification

[0154] The modified cheongsam sample was imported into Style3D virtual fitting software to test the dressing effect of the cheongsam sample. Figure 3 The effect evaluation and structural analysis were carried out in three dimensions to test the rationality of the parameterized relationship of the W-shaped cheongsam and verify the feasibility of the parameter relationship.

[0155] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes, characterized by: The steps include: Step 1: construct a body shape analysis model to receive the collected body shape data, identify and analyze the body shape data, and output the body shape type corresponding to the body shape data, including common body shape and special body shape; Step 2: Create a cheongsam pattern according to the body type output in step 1. For ordinary body types, parameterize the cheongsam intermediate pattern. For special body types, build a special-body mannequin and generate a pattern based on 3D graphics. Step three, virtually try on the cheongsam pattern created in step two, and output the virtual try-on effect.

2. The method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes according to claim 1 is characterized by: The specific steps of constructing the body shape analysis model in step 1 are as follows: Step 1: Calculate the minimum sample size using the following formula: Where N is the minimum sample size, u1-α / 2 is the confidence level statistic, the confidence level is 95%, u1-α / 2=1.96, cv is the coefficient of variation, p is the relative error, and the relative error is 2%; Step 12: based on the minimum sample size calculated in step 11, collect a corresponding number of samples, and the sample items include age, characteristics and anthropometric items; Step 13: Use SPSS software to analyze the sample data collected in step 1 and 2, including descriptive statistical analysis of the data; regression analysis and variance analysis of the data; cluster analysis and dimensionality reduction analysis of the data; time series analysis and modeling of the data; and visual analysis of the data; Step 14: divide the data analyzed in step 13 into a training set, input it into the neural network for training, and then complete the construction of the body shape analysis model.

3. The method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes according to claim 2 is characterized by: The common body type in the step 1 is obtained based on the national standard, including four body types: Y, A, B, and C. A chest-waist difference between 19 and 24 cm belongs to Y body type, 14 and 18 cm belongs to A body type, 9 and 13 cm belongs to B body type, and 4 and 8 cm belongs to C body type. The special body type is obtained through statistical analysis, including four body types: A, U, W, and V. Body type A refers to a body type with a hip-waist difference of 13 to 16 cm and a chest-waist difference of 16 to 20 cm. U-type body type refers to a body type with a large chest and hip circumference, and a close difference, a hip-waist difference of 4 to 7 cm, and a chest-waist difference of 4 to 8 cm. W body type refers to a body type with a chest-waist difference of 8 to 12 cm. V body type refers to a body type with a chest-waist difference of 10 to 13 cm, and a chest-waist difference of 12 to 16 cm.

4. The method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes according to claim 3 is characterized by: The specific steps of establishing a cheongsam pattern for a normal body type in step 2 are as follows: first, the body pattern is made, then the standing collar pattern is made according to the size determination method, and finally the sleeve pattern is made, wherein the specific steps of the body pattern are as follows: Step 21, select the B-type intermediate 160 / 88B as the basic template and input it into the plate making software; Step 22, based on the basic pattern input in step 21, make a flat line through the pattern making software, so that the back collar depth is 2.5 cm, the back collar width is N / 5, and the length of the garment from the back collar depth down is 112 cm; Step 2 and 3: Draw 23.5cm below the upper horizontal line to get the back chest line, the back chest B / 4-0.5=23cm, draw 37.5cm from the back neckline to get the waistline, draw 18cm below the waistline to get the hip line, the back hip H / 4-0.5=24.5cm, draw the knee line 38cm below the hip line; Step 24: Draw the arc of the back collar, draw the shoulder diagonal line at 15:5 from the shoulder and neck point, draw the shoulder width line S / 2 horizontally from the back center line to the shoulder diagonal line, and find the shoulder end point on the shoulder diagonal line; Step 25, draw the back width line S / 2-1.2 downward from the back center collar depth, and draw a vertical back width line below the shoulder diagonal line; Step 26: Draw the back armhole arc and set a 0.5 cm back dart at the armhole. The back armhole dart is transferred to the back shoulder shrinkage, and the armhole arc and back shoulder line are drawn smoothly; Step 27: Indent the side seam of the waistline by 1 cm, and move the hem 2 cm inward at the knee circumference. Draw the side seam line, and make a back dart at the center of the back waistline. The highest point of the dart is 4 cm on the bust line, and the bottom point of the dart is about 3 cm on the hip line. Adjust the dart shape to be an arc. Step 28, make the basic line of the front piece: extend the chest line, waist line, hip line, knee line and length line horizontally, and raise the upper front line 1 cm higher than the upper back line; Step 29: The upper horizontal line is N / 5+1 downward for the front collar depth, and the right front collar width is N / 5-0.6, and the neckline arc is drawn smoothly; at the shoulder and neck point, draw the front shoulder oblique line at 15:6, and measure the back small shoulder length minus the shrinkage length to determine the front shoulder sleeve point; Step 20: Take 8.5cm of the bust line as the BP point, and make a 3.5cm bust prototype dart from the BP point as the dart tip. The front bust width is S / 2-2.7cm. Then find the auxiliary point and make the armhole arc. Step 21: Draw the front side seam and front waist dart. The high point of the dart is 3 cm below the bust line, and the bottom point of the dart is about 3 cm below the hip line. Adjust the dart to an arc shape. Step 22: Connect the BP point with a line 5 cm below the armpit, and adjust the dart point to 3.5 cm from the BP point. Move the chest dart to the armpit, and adjust the new dart point to 3.5 cm from the BP point. The specific method of making a stand-up collar pattern with the fixed-size method is as follows: measure the length of the back collar hole and the length of the front collar hole, make a rectangle with the height of the collar base and the length of the front and back collar arcs, divide the length of the front and back collar holes into three equal parts, measure the collar mouth upturned to 2.5 cm, draw a vertical line at the upturned part with a length of 4 cm, make a stand-up collar shape according to the auxiliary lines, and draw all the lines smoothly; The specific method of sleeve pattern making is: copy the front and back sleeve arc lines, take 4 / 5 of the average armhole depth upward from the side seam point as the sleeve cap height, take 2 cm as the amount of force, and get the sleeve width according to the front AH and the back AH, and adjust the matching relationship between the sleeve width and the sleeve cap height. Divide the back sleeve width line into three equal parts, and the front sleeve width line into four equal parts. Draw the sleeve cap arc line through the top point of the sleeve cap and each auxiliary point, draw it smoothly and measure whether the front and back sleeve cap arc lengths match the current armhole arc length, and draw it smoothly and adjust it; the sleeve length is 18 cm, so that the cuff is at a right angle to the sleeve bottom seam, and it is reversed. The bottom of the back sleeve cap drops 0.5 cm to ensure that the front and back sleeve bottom seams are equal.

5. The method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes according to claim 4 is characterized by: The specific method of parameterizing the cheongsam intermediate pattern in the step 2 is to use height, length, neck circumference, chest circumference, waist circumference, hip circumference, and shoulder width as independent variables to represent other dimensions and set them as dimension parameters. By comparing and analyzing the W body pattern with the B body basic pattern, the coordinates of the key points in the pattern structure line are defined, the offset of the key points of the W body pattern is obtained, and the parametric relationship between the corrected W body cheongsam pattern and the characteristic parts of the human body is established.

6. The method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes according to claim 5 is characterized by: The specific method of constructing a special-shaped mannequin and generating a sample based on 3D Tuyi Licai in the step 2 is as follows: in the mannequin size editing column of the 3D Tuyi Licai software, the basic data of the B-type intermediate body is input to obtain the B-type intermediate mannequin, the basic data of the W-type body is input to obtain the special-shaped mannequins of the four experimental groups of the W-type body, and then the body, collar, sleeves, and darts are drawn on the mannequin according to the cheongsam style, and finally the cheongsam sample is exported in DXF format.

7. The method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes according to claim 6 is characterized by: The specific method of performing parametric correction on the W body shape in the step 2 is: first, the intersection of the waistline and the front center line is taken as the overlapping origin, and four sets of front and back body samples of the W body shape are superimposed in sequence, and the increase and decrease of each key point compared with the intermediate body of the B body shape are measured respectively, and then the regression relationship of the parameters of each part of the corrected sample can be obtained according to the correction data of the W body shape experimental group, and the W body shape is parametrically corrected using the regression relationship.

8. The method for automatically generating parameterized cheongsam templates for middle-aged and elderly people with special body shapes according to claim 7 is characterized by: The specific method of performing virtual fitting in step 3 is: importing the cheongsam sample in DXF format finally exported in step 2 into Style3D virtual fitting software, testing the dressing effect of the cheongsam sample, performing effect evaluation and structural analysis from three dimensions of fitting diagram, stress diagram and strain diagram, and testing the rationality of the cheongsam sample structure for W's special body shape.

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