DocumentCode
457386
Title
Illumination Invariant Texture Retrieval
Author
Haindl, Michal ; Vácha, Pavel
Author_Institution
Inst. of Inf. Theor. & Autom., Acad. of Sci., Prague
Volume
3
fYear
0
fDate
0-0 0
Firstpage
276
Lastpage
279
Abstract
Two fast illumination invariant image retrieval methods for scenes comprising textured objects with variable illumination are introduced. Both methods are based on texture gradient modeled 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
Keywords
content-based retrieval; image representation; image retrieval; image texture; object recognition; Gabor features; illumination invariant image retrieval methods; illumination invariant texture retrieval; image representation; random field models; steerable pyramid; texture gradient; texture recognition; textured objects; Automation; Chromium; Image recognition; Image representation; Image retrieval; Information retrieval; Information theory; Layout; Lighting; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.678
Filename
1699519
Link To Document