Počet záznamů: 1
Colour and rotation invariant textural features based on Markov random fields
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SYSNO ASEP 0357314 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Colour and rotation invariant textural features based on Markov random fields Tvůrce(i) Vácha, Pavel (UTIA-B) RID
Haindl, Michal (UTIA-B) RID, ORCID
Suk, Tomáš (UTIA-B) RID, ORCIDZdroj.dok. Pattern Recognition Letters. - : Elsevier - ISSN 0167-8655
Roč. 32, č. 6 (2011), s. 771-779Poč.str. 9 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova Image modelling ; colour texture ; Illumination invariance ; Markov random field ; rotation invariance Vědní obor RIV BD - Teorie informace CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA102/08/0593 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000288922200002 EID SCOPUS 79551605988 DOI 10.1016/j.patrec.2011.01.002 Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
Počet záznamů: 1