Paper:
Language: English:

Voting-Based Approach to Nullspace Search for Correspondence Matching and Shape Recovery

Kazuhiko Kawamoto^, Atsushi Imiya^, and Kaoru Hirota^

Faculty of Engineering, Kyushu Institute of Technology
1-1 Sensui-cho, Tobata-ku, Kitakyushu 804-8550, Japan
Institute of Media and Information Technology, Chiba University
1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan
Dept. of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Mail-Box G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

Received: April 30, 2003

Accepted: June 6, 2005

Keywords: correspondence matching, shape recovery, occlusion, voting

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.1 pp. 11-16, 2006

Abstract

A simultaneous search, called nullspace search, for matching correspondences among images and recovering 3-D objects is proposed by using a voting-based method to circumvent erroneous recovery of 3-D objects arising from wrong matched correspondences among images. It is able to avoid occlusion problems and cope with remarkable changes in visibility in a long image sequence. An experiment is done with synthetic and real image sequences, consisted of 30 images of a sphere and 10 images of a toy house, under the condition that 3-D points are occluded at most 50% of the sequence and the camera moves with rotational as well as translational motions. The proposed method gives a basis for organizing multiple dynamic images where occlusion occurs frequently.

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