Title :
Recovering LSHGCs and SHGCs from stereo
Author :
Chung, Ronald C K ; Nevatia, Ramakant
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The problem of computing volumetric shape from stereo is examined. It is argued that intermediate two-and-one-half-dimensional dense or wire-frame descriptions may not be always possible from stereo, especially when there are curved surfaces in the scene, and that 3D volumetric descriptions of objects may have to be derived directly from stereo correspondences. Methods are then presented for recovering volumetric shape with linear straight homogeneous generalized cones (LSHGCs) and straight homogeneous generalized cones (SHGCs) as the shape models, using some invariant properties in their monocular and stereo projections. Experimental results on images of objects with curved surfaces are given
Keywords :
computational geometry; computer vision; stereo image processing; 3D volumetric descriptions; curved surfaces; linear straight homogeneous generalized cones; shape models; stereo correspondences; volumetric shape from stereo; Computer science; Image recognition; Image segmentation; Indexing; Intelligent robots; Intelligent systems; Interpolation; Layout; Shape measurement; Surface texture;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223229