Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database

Jiahui WANG  Hideo SAITO  Makoto KIMURA  Masaaki MOCHIMARU  Takeo KANADE  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E89-D    No.5    pp.1732-1742
Publication Date: 2006/05/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.5.1732
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Recognition, Computer Vision
Keyword: 
anthropometry,  deformable model,  principal component analysis,  multiple cameras,  shape reconstruction,  

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Summary: 
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.


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