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Illumination Invariant Texture Retrieval
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.67818th International Conference on Patt ...
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Michal Haindl, Pavel Vacha, "Illumination Invariant Texture Retrieval," Pattern Recognition, International Conference on, vol. 3, pp. 276-279, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.678,
author = {Michal Haindl and Pavel Vacha},
title = {Illumination Invariant Texture Retrieval},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {276-279},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.678},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Illumination Invariant Texture Retrieval
SN - 1051-4651
SP276
EP279
A1 - Michal Haindl,
A1 - Pavel Vacha,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Michal Haindl, Academy of Sciences CR, 182 08 Prague, Czech Republic
Pavel Vacha, Academy of Sciences CR, 182 08 Prague, Czech Republic
Two fast illumination invariant image retrieval methods for scenes comprising textured objects with variable illumination are introduced. Both methods are based on texture gradient modelled by efficient set of random field models. We developed the illumination insensitive measures for textured images representation and compared them favorably with steerable pyramid and Gabor features in the illumination invariant BTF texture recognition.
Citation:
Michal Haindl, Pavel Vacha, "Illumination Invariant Texture Retrieval," icpr, vol. 3, pp.276-279, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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