Presentation | 2002/7/12 Kernel Face : Toward unified theory of invariant feature extraction Hitoshi SAKANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a novel paradigm for invariant feature extraction in similar object recognition. The paradigm is "ellimination of covariant element of feature makes invariant or robust feature against the variantion". Effectiveness of the paradigm is partially confirmed against illumination variations. In this report, we apply the methodology deduced from the paradigm to image variation caused by pose change. From the experimental results, we could not obtain a rigid evidence for effectiveness of the methodorogy. The expeimental results already showed potential of methodology. And the result clarify future problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | face recognition / kernel PCA / subspace method / incariant feature extraction |
Paper # | PRMU2002-63 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2002/7/12(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
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) | Kernel Face : Toward unified theory of invariant feature extraction |
Sub Title (in English) | |
Keyword(1) | face recognition |
Keyword(2) | kernel PCA |
Keyword(3) | subspace method |
Keyword(4) | incariant feature extraction |
1st Author's Name | Hitoshi SAKANO |
1st Author's Affiliation | NTT Data Corporation() |
Date | 2002/7/12 |
Paper # | PRMU2002-63 |
Volume (vol) | vol.102 |
Number (no) | 218 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |