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