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Paper Abstract and Keywords
Presentation 2006-03-17 15:45

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Abstract (in Japanese) (See Japanese page) 
(in English) We propose an image matching method using an affine invariant descriptor for planes in a scene. In this paper, we use three affine invariant vectors for planes: a profile vector, a normalized standard region vector, and a normalized triangle region vector. Each vector is defined by the profile between two interest points, the covariance matrix of the interest point, and the inside of the triangle defined by the three interest points. We define the affine invariant descriptor combined with the first two vectors. Using the affine invariant descriptor and the normalized triangle region vector, we vote the similarities of them into each candidate correspondences. After enforcing the uniqueness of matching, we adopt RANSAC for removing outliers. By using our method, we can obtain many correct corresponding pairs on wide baseline matching problems. We show the effectiveness of our method by real image examples.
Keyword (in Japanese) (See Japanese page) 
(in English) image matching / affine invariant / wide baseline / / / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 674, PRMU2005-295, pp. 233-240, March 2006.
Paper # PRMU2005-295 
Date of Issue 2006-03-10 (PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU  
Conference Date 2006-03-16 - 2006-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2006-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
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Keyword(1) image matching  
Keyword(2) affine invariant  
Keyword(3) wide baseline  
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1st Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
2nd Author's Name Yasushi Kanazawa  
2nd Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
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Speaker Author-1 
Date Time 2006-03-17 15:45:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2005-295 
Volume (vol) vol.105 
Number (no) no.674 
Page pp.233-240 
#Pages
Date of Issue 2006-03-10 (PRMU) 


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