摘要
由于网购服装无法进行合体性试穿体验,导致消费者线上购买产生的退换货问题日趋严重。针对虚拟试衣中人体着装合体性问题,提出虚拟试衣下人体着装合体性评估方法。借助CLO3D虚拟试衣技术,以女式衬衫为研究对象,研究着装状态下,女式衬衫对人体关键部位的压力点值,提取压力参数,建立压力参数与主观合体性间的数值关系。运用BP神经网络建立人体着装合体性评估模型,实现着装合体性评估。该方法将主客观数据相结合,以此来评判服装试穿效果,判断服装是否合体,可为服装合体性评价等个性化定制服务奠定基础。
The online purchasing clothing cannot be fitted for fitting experience, leading to the increasing return problems. According to the problem of dress fit, this paper proposed an evaluation method of human body fitting under virtual fitting. Regarding women＇s shirts under the dressing state as the research object, CL03D virtual dressing technology was used to study on pressure point value of shirts on the key parts of the human body, and the pressure parameters were extracted to establish the mathematical relationship between pressure parameters and subjective fitting. The BP neural network was used to establish the fitness evaluation model which could realize the fitting assessment. The method combines both the subjective and objective data to judge the effect of the garment trying and the fit of the clothing, which can lay the foundation for the personalized service such as clothing fit evaluation.
作者
田丙强
徐增波
胡守忠
TIAN Bingqiang;XU Zengbo;HU Shouzhong(Fashion College,Shanghai University of Engineering Science,Shanghai 201620,China;Shanghai Clothing Creative Design and Digital Professional Technical Service Platform,Shanghai 201620,China)
出处
《东华大学学报（自然科学版）》
CAS
CSCD
北大核心
2018年第3期397-402,共6页
Journal of Donghua University(Natural Science)
基金
上海市科学技术委员会科技创新行动计划资助项目(18030501400)
上海市教育委员会高校教师培养计划资助项目(AI-5300-15-020305)
