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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Illumination Invariant Texture Retrieval
Typ:
Conference paper
Proceedings name:
Proceedings of the 18th International Conference on Pattern Recognition. ICPR 2006
Publisher:
IEEE Press
Serie:
Hong Kong
Year:
2006
Pages:
276-279
ISBN:
0-7695-2521-0
ISSN:
1051-4651
Keywords:
illumination invariants, texture retrieval, BTF textures
Anotation:
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.
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.