Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database

• WANG Jiahui

  Research Institute for Digital Media and Content, Keio University

• SAITO Hideo

  Department of Information and Computer Science, Keio University

• KIMURA Makoto

  Digital Human Research Center, National Institute of Advance Industrial Science and Technology

• MOCHIMARU Masaaki

  Digital Human Research Center, National Institute of Advance Industrial Science and Technology

• KANADE Takeo

  Digital Human Research Center, National Institute of Advance Industrial Science and Technology

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 2mm in average, while the error is more than 4mm with conventional volume intersection method.

Journal

• Plastic surgery

  Plastic surgery 89 (5), 1732-1742, 2006-05-01

  The Institute of Electronics, Information and Communication Engineers

Keywords

• anthropometry
• deformable model
• principal component analysis
• multiple cameras
• shape reconstruction

Details

• CRID: 1573668927372554752
• NII Article ID: 110007503085
• NII Book ID: AA10826272
• ISSN: 09168532
• Text Lang: en
• Data Source:
  • CiNii Articles