Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/4684
- Title
- Outlier resistant GAIC based visual data segmentation
- Author(s)
-
Bab-Hadiashar, A.;
Suter, D.
- Abstract
- This paper introduces the inherent interconnection between the segmentation and model selection problems. It continues by providing an algorithm which relies on GAIC for model selection and random sampling for segmentation. The algorithm is tested for motion segmentation of multiple objects undergoing different types of motions.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. School of Engineering and Science
- Source
-
Proceedings of the 4th Asian Conference on Computer Vision (ACCV 2000), Taipei, Taiwan, 8-11 January 2000,
Vol. 1, pp. 1174-1179
- Publication year
- 2000
- Publisher
- ACCV
- Copyright
- Copyright © 2000.
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