A portable stereo vision system for whole body surface imaging

  • Authors:
  • Wurong Yu;Bugao Xu

  • Affiliations:
  • School of Human Ecology, The University of Texas at Austin, Austin, TX 78712, USA;School of Human Ecology, The University of Texas at Austin, Austin, TX 78712, USA

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2010

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Abstract

This paper presents a whole body surface imaging system based on stereo vision technology. We have adopted a compact and economical configuration which involves only four stereo units to image the frontal and rear sides of the body. The success of the system depends on a stereo matching process that can effectively segment the body from the background in addition to recovering sufficient geometric details. For this purpose, we have developed a novel sub-pixel, dense stereo matching algorithm which includes two major phases. In the first phase, the foreground is accurately segmented with the help of a predefined virtual interface in the disparity space image, and a coarse disparity map is generated with block matching. In the second phase, local least squares matching is performed in combination with global optimization within a regularization framework, so as to ensure both accuracy and reliability. Our experimental results show that the system can realistically capture smooth and complete whole body shapes with high accuracy.