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Proceedings Paper

Evolutionary theory of color perception
Author(s): Huseyin Yilmaz
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Paper Abstract

Physical models for color image formation provide constraints which are useful for interpreting 3-D scenes. I summarize the physics underlying color image formation. Models for surface and body reflection from metals and dielectrics are analyzed in detail. This analysis allows us to evaluate the benefits we stand to gain by using color information in machine vision. I show from the reflection models that color allows the computation of image statistics which are independent of scene geometry. This principle has been used to develop an efficient algorithm for segmenting images of 3-D scenes using normalized color. The algorithm applies to images of a wide range of materials and surface textures and is useful for a wide variety of machine vision tasks including 3-D recognition and 3-D inspection. Experimental results are presented to demonstrate the scope of the models and the capabilities of the segmentation algorithm.

Paper Details

Date Published: 1 August 1990
PDF: 9 pages
Proc. SPIE 1250, Perceiving, Measuring, and Using Color, (1 August 1990); doi: 10.1117/12.19718
Show Author Affiliations
Huseyin Yilmaz, Hamamatsu Photonics K.K. and Tufts Univ. (United States)


Published in SPIE Proceedings Vol. 1250:
Perceiving, Measuring, and Using Color
Michael H. Brill, Editor(s)

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