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Proceedings Paper

Classification of 3D rough surfaces using color and gradient information recovered by color photometric stereo
Author(s): Svetlana Barsky; Maria Petrou
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Paper Abstract

Directional effects of illumination make difficult classification of rough 3D surfaces as their appearance may change dramatically, especially when a surface has variable albedo. One way of circumventing the problem is to separate the local shape and albedo information prior to classification. We do it by means of Colour Photometric Stereo, which produces 5 descriptors for each surface patch: two gradient components, and three colour components. This information is illumination-invariant, and can be used as an input for a suitable classification scheme. We proceed to classify a collection of surfaces by matching their colour histograms and multidimensional co-occurrence matrices of shape descriptors.

Paper Details

Date Published: 25 September 2001
PDF: 10 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441595
Show Author Affiliations
Svetlana Barsky, Univ. of Surrey (United Kingdom)
Maria Petrou, Univ. of Surrey (United Kingdom)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques
Yair Censor; Mingyue Ding, Editor(s)

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