Model Reconstruction of Human Buttocks and the Shape Clustering

Abstract

The purpose of this study is to reconstruct the buttock model of Chinese young men, and categorize the buttock model by k-means clustering algorithm. Thirty men participated in our anthropometric study. The buttocks of subjects were pasted with the mark-points: coccyx (upper margin), trochanters (both sides of the margin), and the middle points on separation line between hip and thigh (lower margin) as the points of the boundary mark-points; ischial tuberosities, anus, as the function mark-points. Three-dimensional (3D) points cloud data, obtained by scanner, was imported into reverse engineering software for the reconstruction of buttock surface model. Then surface models were imported into CATIA software. The horizontal width, the vertical width, and the thickness of the buttocks were measured in 3D shape model. The k-means clustering algorithm was used to individually cluster the dimensions of horizontal width, the vertical width, and the thickness into two groups. The 3D buttock model was successfully reconstructed by 3D scan technology. The models of buttock can be categorized into eight types: long - wide - thick, long - wide - thin, long - narrow - thick, long - narrow - thin, short - wide - thick, short - wide - thin, short - narrow - thick, short - narrow - thin.