Photometric Linearization under Near Point Light Sources

Satoshi SATO  Kazutoyo TAKATA  Kunio NOBORI  

IEICE TRANSACTIONS on Information and Systems   Vol.E89-D   No.7   pp.2004-2011
Publication Date: 2006/07/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.7.2004
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Machine Vision Applications)
Category: Photometric Analysis
photometric linearization,  near point light sources,  photometric factors,  image segmentation,  

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We present a method for classifying image pixels of real images into multiple photometric factors: specular reflection, diffuse reflection, attached shadows and cast shadows. Conventional photometric linearization methods cannot correctly classify pixels under near point light sources, since they assume parallel light. To satisfy this assumption, our method utilizes a photometric linearization method that divides images into small regions. It also propagates linearization coefficients from neighboring regions. Our experimental results show that the proposed method can correctly classify image pixels into photometric factors, even if images are obtained under near point light sources.