Human foot reconstruction from multiple camera images with foot shape database

Jiahui Wang, Hideo Saito, Makoto Kimura, Masaaki Mochimarl, Takeo Kanade

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


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 4mm with conventional volume intersection method.

Original languageEnglish
Pages (from-to)1732-1741
Number of pages10
JournalIEICE Transactions on Information and Systems
Issue number5
Publication statusPublished - 2006 May


  • Anthropometry
  • Deformable model
  • Multiple cameras
  • Principal component analysis
  • Shape reconstruction

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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