Presentation 2001/11/8
An Orthogonal Decomposition of Eigenface for Robust Face Recognition
Kazuma Shigenari, Takeshi Shakunaga,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a pair of eigenspaces, which are called eigen-projection and eigen-residual, in spite of the conventional eigenface composed in image space. While the conventional eigenface contains not only individuality but also noises, and the decomposed eigenface makes it possible to eliminate those noises. The eigen-projection mainly contains personality which can be encoded in the canonical eigenspace and is refined by concept of Virtual Subspace. The eigen-residual contains the remaining information including shadows, spike reflection and personality. By combining the two orthogonal eigenfaces, we can easily realize face identification robust to illumination change, even when too few images are registered. Through experiments, we show the effectiveness of the proposed method in comparison with conventional methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Normalized Image Space / Canonical Space / Decomposition of an Eigenface / Eigen-projection / Eigen-residual
Paper # PRMU2001-120,HIP2001-23,MVE2001-82
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Conference Information
Committee MVE
Conference Date 2001/11/8(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Orthogonal Decomposition of Eigenface for Robust Face Recognition
Sub Title (in English)
Keyword(1) Normalized Image Space
Keyword(2) Canonical Space
Keyword(3) Decomposition of an Eigenface
Keyword(4) Eigen-projection
Keyword(5) Eigen-residual
1st Author's Name Kazuma Shigenari
1st Author's Affiliation Department of Information Technology, Okayama University()
2nd Author's Name Takeshi Shakunaga
2nd Author's Affiliation Department of Information Technology, Okayama University
Date 2001/11/8
Paper # PRMU2001-120,HIP2001-23,MVE2001-82
Volume (vol) vol.101
Number (no) 425
Page pp.pp.-
#Pages 8
Date of Issue