Title :
Indexing via color histograms
Author :
Swain, Michael J. ; Ballard, Dana H.
Abstract :
This paper shows color histograms to be stable object representations over change in view, and demonstrates that they can differentiate among a large number of objects. The authors introduce a technique called histogram intersection for efficiently matching model and image histograms. Color can also be used to search for the location of an object. An algorithm called histogram backprojection performs this task efficiently in crowded scenes
Keywords :
computer vision; computerised picture processing; color histograms; histogram backprojection; histogram intersection; image histograms; indexing; model histograms; stable object representations; Computer science; Computer vision; Histograms; Image databases; Indexing; Layout; Lesions; Robot vision systems; Robustness; Shape;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139558
