NDLI: Face recognition using the classified appearance-based quotient image

Content Provider	IEEE Xplore Digital Library
Author	Nishiyama, M. Yamaguchi, O.
Copyright Year	2006
Description	Author affiliation: Corp. Res. & Dev., Toshiba Corp., Tokyo (Nishiyama, M.; Yamaguchi, O.)
Abstract	We propose a new method for synthesizing an illumination normalized image from a face image including diffuse reflection, specular reflection, attached shadow and cast shadow. The method is derived from the self-quotient image (SQI) which is defined by the ratio of albedo at the pixel value to a locally smoothed pixel value. However, the SQI is not synthesized from an image containing shadows or specular reflections. Since these regions correspond to areas of high or low albedo, they cannot be discriminated from diffuse reflection by using only a single image. To classify the appearances, we utilize a simple model defined by a number of basis images which represent diffuse reflection on a generic face. Through experimental results we show the effectiveness of this method for face identification on the Yale Face Database B and on a real-world database, using only a single image for each individual in training
Starting Page	6
Ending Page	54
File Size	275232
Page Count	49
File Format	PDF
ISBN	0769525032
DOI	10.1109/FGR.2006.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-10
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Optical reflection Lighting Pixel Image generation Image databases Light sources
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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