Presentation 2000/9/15
A Face Recognition Algorithm Robust Against Illumination Variations : Estimation of Surface Reflectance from Face Image
Hitoshi Imaoka, Shizuo Sakamoto,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. This algorithm uses the surface reflectance as a matching feature, and it is possible to recognize faces from minimal registration data:single face image for each person. By using the average face shape for each local area, the deviation from the individual face shapes is suppressed and the estimated error of surface reflectance is decreased. The correct recognition rate for images of 41 persons with 5 illumination conditions was 97.0%, which was much higher than that by the edge-based matching method 82.9%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) face recognition / illumination variations / image database search / 3-dimensional shape model
Paper # PRMU2000-80
Date of Issue

Conference Information
Committee PRMU
Conference Date 2000/9/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

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) A Face Recognition Algorithm Robust Against Illumination Variations : Estimation of Surface Reflectance from Face Image
Sub Title (in English)
Keyword(1) face recognition
Keyword(2) illumination variations
Keyword(3) image database search
Keyword(4) 3-dimensional shape model
1st Author's Name Hitoshi Imaoka
1st Author's Affiliation System Devices and Fundamental Research, NEC Corporation()
2nd Author's Name Shizuo Sakamoto
2nd Author's Affiliation Computer & Communication Media Research, NEC Corporation
Date 2000/9/15
Paper # PRMU2000-80
Volume (vol) vol.100
Number (no) 312
Page pp.pp.-
#Pages 8
Date of Issue