Presentation | 2005-12-16 N-Point Hough Transform drived by Geometric Duality Yoshihiko MOCHIZUKI, Akihiko TORII, Atsushi IMIYA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Randomized Hough Transform / Feature Detection / Spherical Image Analysis / Geometric Duality |
Paper # | PRMU2005-131 |
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Committee | PRMU |
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Conference Date | 2005/12/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |