Presentation 2000/11/10
Shape Reconstruction by Random Sampling and Voting Method
Kazuhiko Kawamoto, Atsushi Imiya,
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Abstract(in English) In the series of papers, we propesed a method for three-dimensional reconstruction from an image sequence without predetecting feature correspondences. In the method, we first collect all images and sample data, and second apply the reconstruction procedure. Therefore, the method is categorized into an off-line algorithm. In this paper, we deal with an on-line algorithm for three-dimensional reconstruction, if we sequentially measure images. Our method is based on the property that points and lines in space are uniquely computed from their projections between two images and among three images, respectively, if a camera system is calibrated. Using these property, our method determines both feature correspondences and three-dimensional positions of points and lines on an object.
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Keyword(in English) 3D Reconstruction / Random Sampling / Voting / The Hough Transform / On-line Algorithm / Multi focal images
Paper # PRMU2000-116
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Conference Information
Committee PRMU
Conference Date 2000/11/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Shape Reconstruction by Random Sampling and Voting Method
Sub Title (in English)
Keyword(1) 3D Reconstruction
Keyword(2) Random Sampling
Keyword(3) Voting
Keyword(4) The Hough Transform
Keyword(5) On-line Algorithm
Keyword(6) Multi focal images
1st Author's Name Kazuhiko Kawamoto
1st Author's Affiliation Department of Information and Image Sciences, Chiba University()
2nd Author's Name Atsushi Imiya
2nd Author's Affiliation Department of Information and Image Sciences, Chiba University
Date 2000/11/10
Paper # PRMU2000-116
Volume (vol) vol.100
Number (no) 443
Page pp.pp.-
#Pages 8
Date of Issue