Title :
Roughness and shape of specular lobe surfaces using photometric sampling method
Author :
Kiuchi, Tesuo ; Ikeuchi, Katsushi
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
An algorithm is proposed to determine surface orientation and roughness for specular lobe dominant surfaces under photometric sampling. From the image sequence, surface reflectance and orientation are obtained by determining the parameters of the reflectance model. The validity of this approach is demonstrated by applying it to real specular lobe dominant surfaces and examining orientation errors
Keywords :
image sequences; photometry; reflectivity; surface topography; image sequence; orientation errors; photometric sampling; roughness; shape; specular lobe surfaces; surface orientation; surface reflectance; Brain modeling; Brightness; Equations; Face detection; Image sampling; Image sequences; Light sources; Photometry; Reflectivity; Rough surfaces; Sampling methods; Shape; Surface roughness;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341164
