Natural Material Recognition with Illumination Invariant Textural Features

0346560 - ÚTIA 2011 RIV US eng C - Conference Paper (international conference)
Vácha, Pavel - Haindl, Michal
Natural Material Recognition with Illumination Invariant Textural Features.
20th International Conference on Pattern Recognition. Los Alamitos: IEEE Computer Society CPS, 2010, s. 858-861. ISBN 978-1-4244-7542-1. ISSN 1051-4651.
[20th International Conference on Pattern Recognition ICPR 2010. Istanbul (TR), 23.08.2010-26.08.2010]
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/08/0593
Grant - others:GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : texture * colour * Markov random field * illumination invariance
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2010/RO/vacha-natural material recognition with illumination invariant textural features.pdf

A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural features based on fast Markovian statistics, which are simultaneously invariant to illumination colour and robust to illumination direction. No knowledge of illumination conditions is required and a recognition is possible from a single training image per material. Material recognition is tested on the currently most realistic visual representation - Bidirectional Texture Function (BTF), using the Amsterdam Library of Textures (ALOT), which contains 250 natural materials acquired in different illumination conditions. Our proposed features significantly outperform several leading alternatives including Local Binary Patterns (LBP, LBP-HF) and Gabor features.
Permanent Link: http://hdl.handle.net/11104/0187560