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JACIII Vol.10 No.1 pp. 11-16
doi: 10.20965/jaciii.2006.p0011
(2006)

Paper:

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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
Published:
January 20, 2006
Creative Commons License
Keywords:
correspondence matching, shape recovery, occlusion, voting
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.
Cite this article as:
K. Kawamoto, A. Imiya, and K. Hirota, “Voting-Based Approach to Nullspace Search for Correspondence Matching and Shape Recovery,” J. Adv. Comput. Intell. Intell. Inform., Vol.10 No.1, pp. 11-16, 2006.
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