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Paper Abstract and Keywords
Presentation 2005-10-27 14:15
Face Recognition by Self Quotient Image based on Classification of Surface Appearance
Masashi Nishiyama, Osamu Yamaguchi (TOSHIBA)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper we present a new method for synthesizing illumination invariant images for face recognition. The method classifies the appearance caused by illumination according to four properties: diffuse reflection, specular reflection, attached shadow and cast shadow. Among these properties, the shadow and the specular reflection dynamically change the appearance. Classification from a single image is difficult because shadows and specular reflection depend on the facial shape and the light source. Therefore, we use a generic face model defined by a few basis images for classification. For each pixel in the original image, we design a filter based on the classification result, which is used to compute the Self Quotient Image (SQI). At each location the SQI contains the ratio of the albedo at that pixel and a locally smoothed value of the albedo. Through experimental results we show the effectiveness of this method for face identification on a public database and on a database used in practice, using only a single image for each individual reference.
Keyword (in Japanese) (See Japanese page) 
(in English) Face recognition / Illumination invariance / Self Quotient Image / Linearization / / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 374, PRMU2005-89, pp. 33-38, Oct. 2005.
Paper # PRMU2005-89 
Date of Issue 2005-10-20 (PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU  
Conference Date 2005-10-27 - 2005-10-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2005-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Face Recognition by Self Quotient Image based on Classification of Surface Appearance 
Sub Title (in English)  
Keyword(1) Face recognition  
Keyword(2) Illumination invariance  
Keyword(3) Self Quotient Image  
Keyword(4) Linearization  
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1st Author's Name Masashi Nishiyama  
1st Author's Affiliation TOSHIBA (TOSHIBA)
2nd Author's Name Osamu Yamaguchi  
2nd Author's Affiliation TOSHIBA (TOSHIBA)
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Speaker Author-1 
Date Time 2005-10-27 14:15:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2005-89 
Volume (vol) vol.105 
Number (no) no.374 
Page pp.33-38 
#Pages
Date of Issue 2005-10-20 (PRMU) 


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