Title :
Physically-based edge labeling
Author :
Boult, Terrance E. ; Wolff, Lawrence B.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
The authors present a physically based approach, using polarization, to distinguish three types of image edges; limb edges, specular edges, and albedo/physical edges. Assuming general imaging conditions and smooth dielectric surfaces, a labeling scheme which enables one to distinguish among these edge types has been developed. The method is demonstrated on laboratory images
Keywords :
computer vision; pattern recognition; picture processing; albedo; edge labeling; image edges; labeling scheme; limb edges; physical edges; polarization; smooth dielectric surfaces; specular edges; Application software; Computer science; Computer vision; Dielectrics; Image edge detection; Labeling; Light sources; Optical reflection; Polarization; Reflectivity;
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.1991.139769
