Color Based Object Recognition

The purpose is to arrive at recognition of multicolored objects invariant to a substantial change in viewpoint, object geometry and illumination. Assuming dichromatic reflectance and white illumination, it is shown that normalized color rgb, saturation S and hue H, and the newly proposed color models c  c  c  and l  l  l  are all invariant to a change in viewing direction, object geometry and illumination. Further, it is shown that hue H and l  l  l  are also invariant to highlights. Finally, a change in spectral power distribution of the illumination is considered to propose a new color constant color model m  m  m  . To evaluate the recognition accuracy differentiated for the various color models, experiments have been carried out on a database consisting of 500 images taken from 3-D multicolored man-made objects. The experimental results show that highest object recognition accuracy is achieved by l  l  l  and hue H followed by c  c  c  , normalized color rgb an...

• Type: Conference
• Year: 1997
• Where: ICIAP
• Authors: Theo Gevers, Arnold W. M. Smeulders
• Keywords: Color Models, ICIAP 1997, Image Processing, Normalized Color Rgb, Recognition Accuracy