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Colour and rotation invariant textural features based on Markov random fields
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SYSNO ASEP 0357314 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Colour and rotation invariant textural features based on Markov random fields Author(s) Vácha, Pavel (UTIA-B) RID
Haindl, Michal (UTIA-B) RID, ORCID
Suk, Tomáš (UTIA-B) RID, ORCIDSource Title Pattern Recognition Letters. - : Elsevier - ISSN 0167-8655
Roč. 32, č. 6 (2011), s. 771-779Number of pages 9 s. Language eng - English Country NL - Netherlands Keywords Image modelling ; colour texture ; Illumination invariance ; Markov random field ; rotation invariance Subject RIV BD - Theory of Information R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/08/0593 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000288922200002 EID SCOPUS 79551605988 DOI 10.1016/j.patrec.2011.01.002 Annotation A visual appearance of natural materials significantly depends on acquisition circumstances, particularly illumination conditions and viewpoint position, whose variations cause difficulties in the analysis of real scenes. We address this issue with novel texture features, based on fast estimates of Markovian statistics, that are simultaneously rotation and illumination invariant. The proposed features are invariant to inplane material rotation and illumination spectrum (colour invariance), they are robust to local intensity changes (cast shadows) and illumination direction. No knowledge of illumination conditions is required and recognition is possible from a single training image per material. The material recognition is tested on the currently most realistic visual representation – Bidirectional Texture Function (BTF), using CUReT and ALOT texture datasets with more than 250 natural materials. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
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