Body shape analysis using 3D scanning data
Due to the complexity and diversity of human body, it is important to quantify the shapes and to analyze the variations. Nowadays, the 3D scanning technology makes it possible to collect 3D information for describing the shapes more realistically than the simple geometry derived from 1D information. This study proposes four descriptors, including occupancy, contour variation, convex hull-based contour appearance, and ellipse-based contour appearance, to analyze the 3D sizes and shapes of the whole torso, upper torso, middle torso, and lower torso. Further, the descriptors were evaluated by determining the percentage of correct identification (PCI) based on the similarity among 30 males/females. Better performances were found with occupancy and contour variation. By combining the shape descriptors, the PCI reached 96.7％ and 93.3％ for males and females respectively. With these descriptors, numerous applications such as shape classification can be realized.
Anthropometry 3D scanning shape analysis
J.-M. Lu M.-J. J. Wang R. Mollard P.-Y. Hennion C.-L. Lin
Department of Industrial Engineering and Engineering Management, National Tsing Hua University,101 S Université Paris V - Laboratoire d’Anthropologie Appliquée, 45 rue des Saints-Pères,75270 PARIS Cede Department of Industrial Engineering and Engineering Management, National Tsing Hua University, 101
国际会议
17th World Congress on Ergonomics(第十七届国际人类工效学大会)
北京
英文
1-4
2009-08-09（万方平台首次上网日期，不代表论文的发表时间）