DocumentCode
3205667
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
fYear
1992
fDate
15-18 Jun 1992
Firstpage
493
Lastpage
498
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223145
Filename
223145
Link To Document