Presentation 2005-12-16
N-Point Hough Transform drived by Geometric Duality
Yoshihiko MOCHIZUKI, Akihiko TORII, Atsushi IMIYA,
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Abstract(in English) We propose an extension of the three-point Randomized Hough transform. Our new Hough transform, which permits a continuous voting space without any cell-tessellation, uses both one-to-one mapping from an image plane to the parameter space and from the parameter space to the image plane. These transforms define a parameter from samples and a line from a parameter, respectively. Furthermore, we describe the classical Hough transform, the randomized Hough transform, the three-point randomized Hough transform and our new Hough transform in a generalized framework using geometric duality.
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Keyword(in English) Randomized Hough Transform / Feature Detection / Spherical Image Analysis / Geometric Duality
Paper # PRMU2005-131
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Conference Information
Committee PRMU
Conference Date 2005/12/9(1days)
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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) N-Point Hough Transform drived by Geometric Duality
Sub Title (in English)
Keyword(1) Randomized Hough Transform
Keyword(2) Feature Detection
Keyword(3) Spherical Image Analysis
Keyword(4) Geometric Duality
1st Author's Name Yoshihiko MOCHIZUKI
1st Author's Affiliation School of Science and Technology, Chiba University()
2nd Author's Name Akihiko TORII
2nd Author's Affiliation School of Science and Technology, Chiba University
3rd Author's Name Atsushi IMIYA
3rd Author's Affiliation IMIT, Chiba University
Date 2005-12-16
Paper # PRMU2005-131
Volume (vol) vol.105
Number (no) 478
Page pp.pp.-
#Pages 6
Date of Issue