Natural Material Recognition with Illumination Invariant Textural Features

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00346560" target="_blank" >RIV/67985556:_____/10:00346560 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Natural Material Recognition with Illumination Invariant Textural Features
Original language description
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.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
20th International Conference on Pattern Recognition
ISBN
978-1-4244-7542-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Computer Society CPS
Place of publication
Los Alamitos
Event location
Istanbul
Event date
Aug 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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