DocumentCode :
2876502
Title :
Color illumination models for image matching and indexing
Author :
Gros, P.
Author_Institution :
CNRS, Rennes, France
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
576
Abstract :
Recent works have demonstrated that the direct use of grey levels for image matching and indexing allows one to build very powerful image recognition systems. The present paper attempts to enlarge these results to the case of color images. First, it presents a small abstract about photometry and cameras, which allows one to justify the choice of a color representation system. Then it presents, evaluates, and compares several illumination models, and discusses image normalization techniques. Finally, the paper presents a set of color invariants for image matching and indexing
Keywords :
computer vision; image colour analysis; image matching; image representation; indexing; lighting; color illumination models; color image; color invariants; color representation; image indexing; image matching; image normalization; photometry; Cameras; Color; Humans; Image matching; Image retrieval; Indexing; Lighting; Photometry; Power system modeling; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903611
Filename :
903611
Link To Document :
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