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Illumination Invariant and Rotational Insensitive Textural Representation

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    SYSNO ASEP0331794
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleIllumination Invariant and Rotational Insensitive Textural Representation
    TitleReprezentace textur invariantní k osvětlení a rotaci
    Author(s) Vácha, Pavel (UTIA-B) RID
    Haindl, Michal (UTIA-B) RID, ORCID
    Source TitleProceedings of the 16th International Conference on Image Processing, ICIP 2009. - Los Alamitos : IEEE, 2009 - ISSN 1522-4880 - ISBN 978-1-4244-5655-0
    Pagess. 1333-1336
    Number of pages4 s.
    Publication formwww - www
    ActionICIP 2009
    Event date07.11.2009-11.11.2009
    VEvent locationCairo
    CountryEG - Egypt
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    KeywordsIllumination Invariants, ; Rotational Invariant ; BTF texture ; image retrieval
    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)
    AnnotationWe propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and textural features are derived from fast analytical estimates of Markovian statistics. We do not require any knowledge of illumination direction or spectrum. This makes our method suitable for computer analysis of real scenes, where appearance of materials depends on their orientation towards the illumination source. Our method is tested on the most realistic visual representation of natural materials - the bidirectional texture function (BTF), using data from the CUReT database, where it outperforms the alternative leading illumination invariant Local Binary Patterns (LBP) and texton MR8 methods, respectively.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

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