Presentation 2004/6/11
Subspace Face Recognition for Reducing Lighting Fluctuations
Kenji MATSUO, Masayuki HASHIMOTO, Atsushi KOIKE,
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Abstract(in English) In this paper, we propose a dictionary registration method for subspace face recognition and realize face image recognition with strong tolerances to lighting fluctuations. Today, cellular phone has made biometric certification of face images possible without the addition of extra devices, such as a fingerprint sensor. However, the most serious problem with this biometrics system is that lighting fluctuations decrease its recognition accuracy. Our proposed method simply uses the lighting canonical space which contains various types of lighting elements and was modeled in advance, and creates a virtual subspace without actually taking extra face images. Simulation results show that the proposed method can achieve not only a lower equal-error-rate of verification, but also higher precision of identification than the conventional subspace method.
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Keyword(in English) Face recognition / Lighting fluctuation / Subspace / Biometrics
Paper # PRMU2004-37
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Conference Information
Committee PRMU
Conference Date 2004/6/11(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) Subspace Face Recognition for Reducing Lighting Fluctuations
Sub Title (in English)
Keyword(1) Face recognition
Keyword(2) Lighting fluctuation
Keyword(3) Subspace
Keyword(4) Biometrics
1st Author's Name Kenji MATSUO
1st Author's Affiliation KDDI R&D Laboratories Inc.()
2nd Author's Name Masayuki HASHIMOTO
2nd Author's Affiliation KDDI R&D Laboratories Inc.
3rd Author's Name Atsushi KOIKE
3rd Author's Affiliation KDDI R&D Laboratories Inc.
Date 2004/6/11
Paper # PRMU2004-37
Volume (vol) vol.104
Number (no) 125
Page pp.pp.-
#Pages 6
Date of Issue