Abstract:

A classification method of the human body based on the longitudinal section cure was proposed for classification basis of somatotype. A 3-D human body measurement instrument was used to measure 124 young female samples. The point cloud data of the longitudinal section cure could be got, and analyzed and processed by some way. The elliptical Fourier fitting was used for ouiginal curve denoise processing. To get turning function cure of longitudinal section curve a function which was called turning function was used, then five characteristic indexes extracted according to characteristics of turning function cure. A method called the principal component analysis was used to extract three principal components. As for shape clustering the K-means cluster analysis was used, and the Pseudo F-statistics was used to determine the optimal class number. Then longitudinal section curve could be divided into four classes. Finally, the difference on back, centre back seam line, abdomen, hip and side thickness of all dinds of shapes was described.

Key words: longitudinal section curve, turning function, principal component analysis, K-means cluster analysis, somatotype