Computer-aided visual assessment of the grade of clothing fit
The paper first introduces and analyzes the merits and demerits of some traditional methods of evaluating the grade of clothing fit, including: 3D human body measurement method, fuzzy mathematical method, statistical method, wavelet analysis method and Mohr diagram method.Then a computer-aided evaluating method is put forward.In this process two groups are needed.The control group is made up of people who wear underwear only while the experimental group consists of those who wear clothes to be evaluated.People in these two groups are taken photos respectively from front, back and lateral sides.The photos are input computer and receive a series of image processing using opencv which provides the open source library function including image preprocessing, edge detection and image segmentation, etc.Finally, taking the clothing ease into account, the processed data is used for region matching and evaluating the grade of clothing fit.
Evaluating Grade of Clothing Fit Image processing Opencv Computer Vision
Yishan Wu Zengbo Xu
College of Fashion, Shanghai University of Engineering Science, Shanghai, 201620, China
国际会议
上海
英文
48-50
2014-07-11（万方平台首次上网日期，不代表论文的发表时间）