Fuzzy Clustering of Female Body Shape and Identification of Side Parts Characteristics
The development and application of virtual human body reconstruction required distinguish human bodily form accurately. At present, most of the analysis of the human body was based on body cross-section and circumference characteristics, which can not well reflect the human body curves. This paper analyzed the characteristics of the human body side, using two indexes reflect female body side parts characteristics. According to statistical analysis, the two indexes relative membership functions were established. This paper classified 20 samples by the fuzzy classification and recognition model, and obtained the optimal fuzzy recognition matrix, the optimal fuzzy clustering central matrix and the reasonable weight vector. Then a model of the fuzzy clustering and recognition of female bodily form were built based on lateral part characteristic. Moreover, 25 female body data was analyzed with this model. Calculation results showed that using fuzzy partition clustering method to female side parts form characteristics of classification and recognition of the method was feasible.
Li Chuang Qiu Jianxin Xu Peng
Shanghai University of Engineering Science, Shanghai, P.R.China, 201600
国际会议
上海
英文
103-106
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）