Presentation 2001/1/12
Point Pattern Matching by Finding Largest Group of Similar Triangles Having Shared Side
Nobuhito SUZUKI, Kenji SHOJI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is important problem to find matching two images in computer vision and image analysis. And two dimensional point pattern matching is one of the most important problems. This paper proposes a method for point pattern matching faster than the previous one. The proposed method is based on finding largest group of similar triangles having shared side. Applied to several of random dot patterns, the proposed method is compared to previous method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) pattern matching / point pattern / similar triangle pair
Paper # PRMU2000-172
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Conference Information
Committee PRMU
Conference Date 2001/1/12(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Point Pattern Matching by Finding Largest Group of Similar Triangles Having Shared Side
Sub Title (in English)
Keyword(1) pattern matching
Keyword(2) point pattern
Keyword(3) similar triangle pair
1st Author's Name Nobuhito SUZUKI
1st Author's Affiliation Faculty of Engineering, Utsunomiya University()
2nd Author's Name Kenji SHOJI
2nd Author's Affiliation Faculty of Engineering, Utsunomiya University
Date 2001/1/12
Paper # PRMU2000-172
Volume (vol) vol.100
Number (no) 566
Page pp.pp.-
#Pages 6
Date of Issue