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Illumination Normalization Using Photometric Linearization

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Challenges in face verification research are due the problems of pose, expression and illumination variations. The appearance of a face vary intensely when illumination changes. The purpose of this paper is to present an illumination normalization method for face verification under various lighting conditions. In the proposed approach, a photometric normalization technique called Classified Appearance-based Quotient Image has been applied on the Yale database B and XM2VTS human face databases. The performance of the method under illumination variations is improved compared to other pervious methods. Moreover, the method compensates shadow and specularity components in addition to diffuse reflection.
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Document Type: Research Article

Publication date: December 1, 2013

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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