PAPER DIGEST
Most Influential CVPR 1992 Paper · 2026-03 edition

Anatomy Of A Color Histogram

C. L. Novak and S. A. Shafer

Venue
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1992
Recognition
Most Influential CVPR 1992 Paper (Rank No. 13)
Edition
2026-03
Impact factor
4
Certificate ID
eaeb9cec75f64c5b

Abstract

It is shown that the color histogram has an even closer relationship to scene properties than has been previously described. Color histograms have identifiable features that relate in a precise mathematical way to scene properties. Object color and illumination color are the most obvious properties that are related to color distribution, and their extraction has already been described. It is shown here that the histogram of color variation may be further exploited to relate its shape to surface roughness and imaging geometry. An understanding of these features allows an improved estimate of illumination color and object color to be made.<>

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