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.

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