Presentation | 2004/9/3 Appearance Based 3D Object Recognition Robust against Local Occlusion, Specular Reflection, and Complex Background Yoshinori Kusachi, Akira Suzuki, Kenichi Arakawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A novel appearance based method for object recognition is proposed, which is robust against occlusion, specular reflection, and complex background. Our method uses a subspace method basically, and in this paper, we describe that co-variance matrix for a large number of images, added to original images with all considerable noises, is calculable with just original images. Experimental results showed our method marked high recognition rates for severely damaged images with occlusion, specular reflection, and complex background. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Appearance / Occlusio / Specular reflection / Complex background / Subspace method / Noises / Destroyed patterns |
Paper # | PRMU2004-71 |
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Committee | PRMU |
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Conference Date | 2004/9/3(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) | Appearance Based 3D Object Recognition Robust against Local Occlusion, Specular Reflection, and Complex Background |
Sub Title (in English) | |
Keyword(1) | Appearance |
Keyword(2) | Occlusio |
Keyword(3) | Specular reflection |
Keyword(4) | Complex background |
Keyword(5) | Subspace method |
Keyword(6) | Noises |
Keyword(7) | Destroyed patterns |
1st Author's Name | Yoshinori Kusachi |
1st Author's Affiliation | NTT Cyber Space Laboratories() |
2nd Author's Name | Akira Suzuki |
2nd Author's Affiliation | NTT Cyber Space Laboratories |
3rd Author's Name | Kenichi Arakawa |
3rd Author's Affiliation | NTT Cyber Space Laboratories |
Date | 2004/9/3 |
Paper # | PRMU2004-71 |
Volume (vol) | vol.104 |
Number (no) | 290 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |