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Estimating facial albedo from a single image

Research output: Contribution to journalArticle

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Publication details

JournalINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
DatePublished - Sep 2006
Issue number6
Volume20
Number of pages16
Pages (from-to)955-970
Original languageEnglish

Abstract

This paper describes how a facial albedo map can be recovered from a single image using a statistical model that captures variations in surface normal direction. We fit the model to intensity data using constraints on the surface normal direction provided by Lambert's law and then use the differences between observed and reconstructed image brightness to estimate the albedo. We show that this process is stable under varying illumination. We then show how eigenfaces trained on albedo maps may provide a better representation for illumination insensitive recognition than those trained on raw image intensity.

Bibliographical note

1st International Symposium on Brain, Vision, and Artificial Intelligence, Naples, ITALY, OCT 19-21, 2005

    Research areas

  • albedo estimation, shape-from-shading, face recognition, SHAPE, ILLUMINATION

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