Number of the records: 1  

Colour and rotation invariant textural features based on Markov random fields

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    SYSNO ASEP0357314
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleColour 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, ORCID
    Source TitlePattern Recognition Letters. - : Elsevier - ISSN 0167-8655
    Roč. 32, č. 6 (2011), s. 771-779
    Number of pages9 s.
    Languageeng - English
    CountryNL - Netherlands
    KeywordsImage modelling ; colour texture ; Illumination invariance ; Markov random field ; rotation invariance
    Subject RIVBD - Theory of Information
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    GA102/08/0593 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    UT WOS000288922200002
    EID SCOPUS79551605988
    DOI10.1016/j.patrec.2011.01.002
    AnnotationA 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.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2011
Number of the records: 1  

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