Color based object recognition

Abstract

Assuming white illumination and dichromatic reflectance, we propose new color models c1 c2 c3 and l1 l2 l3 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 m1 m2 m3 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 l1 l2 l3 and hue H followed by c1 c2 c3 and normalized colors rgb under the constraint of white illumination. Finally, it is shown that solely m1 m2 m3 is invariant to a change in illumination color.