Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database

  • Authors:

  • Jiahui Wang;Hideo Saito;Makoto Kimura;Masaaki Mochimaru;Takeo Kanade

  • Affiliations:

  • The author is with Research Institute for Digital Media and Content, Keio University, Yokohama-shi, 223--8521 Japan. E-mail: wjh@ozawa.ics.keio.ac.jp,;The author is with the Department of Information and Computer Science, Keio University, Yokohama-shi, 223--8521 Japan.,;The authors are with Digital Human Research Center, National Institute of Advance Industrial Science and Technology, Yokohama-shi, 223--8522 Japan.;The authors are with Digital Human Research Center, National Institute of Advance Industrial Science and Technology, Yokohama-shi, 223--8522 Japan.;The authors are with Digital Human Research Center, National Institute of Advance Industrial Science and Technology, Yokohama-shi, 223--8522 Japan.

  • Venue:
  • IEICE - Transactions on Information and Systems
  • Year:
  • 2006

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Abstract

Recently, researches and developments for measuring and modeling of the human body have been receiving much attention. Our aim is to reconstruct an accurate shape of a human foot from multiple camera images, which can capture dynamic behavior of the object. In this paper, a foot-shape database is used for accurate reconstruction of human foot. By using Principal Component Analysis, the foot shape can be represented with new meaningful variables. The dimensionality of the data is also reduced. Thus, the shape of object can be recovered efficiently, even though the object is partially occluded in some input views. To demonstrate the proposed method, two kinds of experiments are presented: reconstruction of human foot in a virtual reality environment with CG multi-camera images, and in real world with eight CCD cameras. In the experiments, the reconstructed shape error with our method is around 2 mm in average, while the error is more than 4 mm with conventional volume intersection method.