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Research Of Young Female Body Analysis Based On Data Management Of Garment Human Body

Posted on:2018-11-28Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhangFull Text:PDF
GTID:2381330596956508Subject:Costume design and engineering
Abstract/Summary:PDF Full Text Request
Nowadays,with the rapid development of economy and technology,the overwhelming majority of garment consumers not only have higher requirements for fabrics,styles,comfort,fit and individuation,but also the pursuit of beauty is getting higher and higher.Not only do people have strict control over their body shape,but they also want to show off their beautiful figure,improve their temperament,and hide their inadequacies by dress.This has a deeper level of clothing requirements,not only have accurate somatotype classification,but also have appropriate clothing for specific body types.The current national standard size is based on the difference between the bust and the waist,however,the shape of the human body is reflected by the changes of human body’s height,fat and body shape,it’s not true that the body classification of the chest-waist difference is a true indicator of a person’s body size.Therefore,more accurate and detailed body classification and clothing style recommendation based on human body recognition become extremely important.Based on the establishment of a consummate human information management system,this paper subdivides the body shape from the overall body shape and detail body shape,and realizes the recognition of the rapid automatic identification of body type and the recommendation of clothing style of body shapes.The details are as follows:Scanning the three dimensions of the human body(1)Under the premise that the age coverage is as uniform as possible,we extracted data information of 1200 celebrities aged 18~72 years old from the software of Shanghai University of Engineering Science 3D body scanner.Human body information management system was also established by using Visual Studio C# 2015 and SQLServer2012.(2)The human body information of young women aged 18-28 years was extracted from the database,the study of the body type of young women was carried out from the overall shape and the shape of the detail.The overall body type classification consists of two cases: the classification of the frontal profile and the classification of the shoulder type,the frontal profile of young females is divided into three categories by the fuzzy C-means algorithm,shoulder type of young females is divided into three categories by K-means algorithm.Detailed size of young females is divided into three categories by the fuzzy C-means algorithm.Finally,the national standard body shape,human frontal profile,shoulder type and detailed body shape were combined to form a new body shape classification standard of "national standard type + human body profile type + shoulder type + detail body type".(3)MATLAB R2014 a software was used to build the model of young female body recognition,and the model was tested.The results showed that the correct recognition rate of human profile was 98.11%,and the correct recognition rate of body shape was 98.23%.(4)Based on body shape,the research of clothing style recommendation is carried out,and a garment style recommendation model based on body shape is built.(5)This project using Visual Studio C # 2015,SQLServer2012,Matlab2014 b and PGM PDS,develop a young female body recognition and clothing style recommendation system,which not only realize the automatic recognition of human body shape,but also recommend the clothing style according to the shape recognition result,and show the wearing effect diagram of the body wearing the recommended style clothing.To sum up:This topic is based on perfect information management system of the human body,the classification of young women and the collocation of clothing style were studied,and the development of the young female body automatic identification system and the recommendation system of the automatic identification system based on clothing style,and young female automatic body recognition and clothing style recommendation based on the automatic body recognition system was developed,which not only provides a strong technical support for improving the fitness of garment production,but also provides help for consumers to choose the appropriate clothing style according to their body shape.
Keywords/Search Tags:management of human body information, size classification, extreme learning machine, shape recognition, recommendation of clothing style
PDF Full Text Request
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