Research And Application Of The Method For Creating Custom Fitted Pants For Male Trousers

The fitness design of personalized patterns of clothing is the most important part of clothing tailored,and is widely considered to be an important aspect of affecting the appearance,comfort and sales of clothing.How to quickly and accurately meet the requirements of conformity has been a hot spot for research all the time.It is also a key technology and difficulty in garment plate making.The basic idea of garment pattern generating is called garment library and the customer is close to the size of the model,as the benchmark model,on this basis,according to the two-dimensional difference between target size and standard sample size,and change the rules call established,generating the size of the object model,and then the master model modification and adjustment of model in detail,get the final garment.The defect of this method is that the huge plate database is needed.The fact is that due to the different shapes of the human body and the shortage of the plate type library,it is sometimes difficult to find a suitable plate type.Second,it is a strong dependence on the model teacher,the correction of samples is also time-consuming and laborious.Third,the constraint parameter is the same,in changing size,automatically generate a new pattern for the standard build model can be applicable,but when the size change is large,the shape of pattern will appear unbalanced structure.Therefore,this paper proposes a parametric study of change rules,which combines expert experience and human body with clothing CAD.In men’s trousers as the benchmark model,rules of change of waist and hip part of the research on the image,Accumark10.0 technology,parametric design of male trousers waist and abdomen and buttocks to change the rules,so as to form a precise correspondence dataand the corresponding key points between in the human body,the body size and pattern,The BP neural network algorithm in Matlab software was used to establish the neural network model between human body waist circumference,hip circumference change and the corresponding change rules,and the matching data and data was directly used to archive,thus avoiding complicated body classification.By invoking the change rule corresponding to the target size,a matching model is automatically generated to realize a one-for-one version,which solves the defect of finding approximate plate type difficulties from the plate type library,improves the fitting degree of clothing,reduces the dependence on the model teacher,Provide a new idea for the fit of the sample.The main contents of this research are as follows:(1)From the Shanghai University of Engineering Science database access for nearly three years in different parts of the lower part of man’s body length and width,thickness of the data through the SPSS software for data statistics of the basic body man analysis,correlation analysis and regression analysis,the relationship between the different parts,in depth understanding of the male body shape change law,for the correction of inappropriate samples and correction body model for clothing validation;(2)The establishment of male trousers 170/82 A as the benchmark model for this study,refer to the scaling rules to establish a reference file,through business research and literature review to determine the parts of male trousers model fit mainly waist and abdomen.(3)The establishment of waist circumference and hip circumference change rules for the study,the other parts still use the benchmark does not change the rules.According to waist,hip size and the benchmark model waist circumference,hip size differences between the different,call the reference file to change the benchmark sample,the sample under different sizes,the distortion of the sample(clothing structure is not balanced)to be modified.Modification of the model structure,body size and human dimensions at the same time consider multi-dimensional,and then record the data modified at each point,that is,the template change data,and add it to the change rules.(4)Using the BP neural network algorithm in Matlab software to establish theparametric change rule neural network model of human body waist,hip size changes and the corresponding change rules,so that different human body size using different change rules to achieve male Trousers custom fit the rapid generation of samples.(5)Make the sample pants,and make the samples of the garment samples produced by the benchmark change rule and the parameterization changing rule respectively,compare the wearing effects between them,and mark the wearing effect of the two experts by expert scoring method,so as to verify the fit of the garment.