T. Gevers and A. W. M. Smeulders,
A Comparative Study of Several Color Models for Color
Image Invariant Retrieval,
In Image Databases and Multi-Media Search,
Amsterdam, The Netherlands, pp. 17-26, August 1996.
T. Gevers and A. W. M. Smeulders,
A Comparative Study of Several Color Models for Color
Image Invariant Retrieval,
In Image Databases and Multi-Media Search,
Amsterdam, The Netherlands, pp. 17-26, August 1996.In this paper, our goal is to analyze and evaluate various colour features to be used for the purpose of image retrieval by color-metric histogram matching independent of varying imaging conditions. In theory, we will examine the effect of a change in camera viewpoint, object surface orientation, illumination intensity, and illumination color for the color features under a simple reflection model. To evaluate photometric color invariance in practice, experiments have been carried out on a database consisting of 500 images taken from multicolored man-made objects in real world scenes. Images in the database show a considerable amount of noise, shadows, shading and specularities resulting in a good representation of views from everyday life as it appears in home video and consumer photography in general.