Presentation | 2001/12/14 Extraction of Feature Points Suitable for Estimation of Epipolar Geometry Yoji HAMANO, Masami IWATSUKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In order to reconstruct 3D structures from a pair of images taken arbitrary viewpoints, the epipolar geometry must be estimated. The reliable estimation requires finding correct corresponding feature points and detecting the accurate locations. Therefore, this paper proposes a method for extraction of unambiguous corners or junctions from feature points on region contours obtained by color segmentation and estimation of those locations in subpixel accuracy by using maximum likelihood method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Epipolar Geometry / 3D Reconstruction / Corner / Junction / Maximum Likelihood Method |
Paper # | PRMU2001-185 |
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Committee | PRMU |
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Conference Date | 2001/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extraction of Feature Points Suitable for Estimation of Epipolar Geometry |
Sub Title (in English) | |
Keyword(1) | Epipolar Geometry |
Keyword(2) | 3D Reconstruction |
Keyword(3) | Corner |
Keyword(4) | Junction |
Keyword(5) | Maximum Likelihood Method |
1st Author's Name | Yoji HAMANO |
1st Author's Affiliation | Faculty of Engineering, Hosei University() |
2nd Author's Name | Masami IWATSUKI |
2nd Author's Affiliation | Faculty of Engineering, Hosei University |
Date | 2001/12/14 |
Paper # | PRMU2001-185 |
Volume (vol) | vol.101 |
Number (no) | 525 |
Page | pp.pp.- |
#Pages | 6 |
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