Indexing via color histograms

Indexing via color histograms

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Swain, M.J., Ballard, D.H.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computer science
Computer vision
Histograms
Image databases
Indexing
Layout
Lesions
Robot vision systems
Robustness
Shape
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Beschreibung
Zusammenfassung: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.< >
DOI:10.1109/ICCV.1990.139558