Geometry Processing and Statistical Shape Analysis of 3-D Anthropometry Data
3-D anthropometry data obtained from 3-D scanning technology provide detailed information about the human shape. However, due to the limitations of the sensors, such as field of view, lighting condition, and object self-occlusion, the raw 3-D data are usually noisy and incomplete. Much processing is necessary before they can be used for statistical analysis. In this paper, we present geometry processing tools for preparing the raw data for shape analysis. We show that these tools help extract useful information about the human shape.
Chang Shu Pengcheng Xi Zouhour Ben Azouz Pierre Meunier
National Research Council of Canada Defence Research and Development Canada
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）