Title :
Surface segmentation from stereo
Author :
Chen, Liang-Hua ; Lin, Wei-Chung
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
An algorithm for extracting and segmenting surface descriptions from stereo images is presented. Compared with the advance of range image segmentation, the progress of surface segmentation from stereo images is slow. The algorithm integrates the boundary-based and region-based approaches to achieve more satisfactory segmentation results. The algorithm yields such a rich description of a scene in terms of global surface patches and closed surface boundaries. These shape primitives are useful for subsequent high-level processing
Keywords :
image segmentation; stereo image processing; closed surface boundaries; range image segmentation; shape primitives; stereo images; surface extraction; surface segmentation; Computer vision; Image analysis; Image segmentation; Iterative methods; Layout; Low pass filters; Merging; Shape; Stereo vision; Surface fitting;
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.1992.223145
