Title :
Identification of interreflection in color images using a physics-based reflection model
Author_Institution :
Dept. of Comput. Sci., South Carolina Univ., Columbia, SC, USA
Abstract :
An algorithm that identifies interreflection by using chromatic information in color images is presented. Several experimental results from test images show that the proposed method could play the role of an added enhancement stage in the segmentation method using the dichromatic reflection model, and could be an independent identification scheme by itself. The algorithm does not consider multiple bounces of light and deals with body-to-body interreflection only. This model must be combined with other intrinsic models of surface properties such as metals which exhibit strong surface reflection but not body reflection
Keywords :
colour; computer vision; light reflection; optical images; body-to-body interreflection; chromatic information; color images; dichromatic reflection; enhancement; interreflection identification; reflection model; segmentation; surface properties; surface reflection; Computer science; Image analysis; Image color analysis; Image edge detection; Image segmentation; Layout; Light sources; Lighting; Optical reflection; Physics;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139766