Abstract
Assuming white illumination and dichromatic reflectance, we propose new color models c 1 c 2 c 3 and l 1 l 2 l 3 invariant to the viewing direction, object geometry and shading. Further, it is shown that l 1 l 2 l 3 is also invariant to highlights. Further, a change in spectral power distribution of the illumination is considered to propose a new photometric color invariant m 1 m 2 m 3 for matte objects.
To evaluate photometric color invariant object recognition in practice, experiments have been carried out on a database consisting of 500 images taken from 3-D multicolored man-made objects.
On the basis of the reported theory and experimental results, it is shown that high object recognition accuracy is achieved by l 1 l 2 l 3 and hue H followed by c 1 c 2 c 3 and normalized colors rgb under the constraint of white illumination. Finally, it is shown that solely m 1 m 2 m 3 is invariant to a change in illumination color.
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© 1997 Springer-Verlag Berlin Heidelberg
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Gevers, T., Smeulders, A.W.M. (1997). Color based object recognition. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63507-6_217
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DOI: https://doi.org/10.1007/3-540-63507-6_217
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