Conference paper
Robust factorization for the affine camera: Analysis and comparison
7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., pp.126-131
IEEE
7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 (Singapore, 02/12/2002–05/12/2002)
2002
Abstract
Based on our previous work on the use of subspace distances for the outlier detection problem in video sequences under affine projection, this paper reports our further analysis of the problem and presents two algorithms for computing the reprojection errors of image features in the outlier detection process. Extensive experiments on real video sequences have been conducted to verify the performance of the algorithms. The key contributions of the paper are presentation of the relationship between subspace distances and reprojection errors and demonstration that reprojection errors can be estimated without explicitly computing the projective structure.
Details
- Title
- Robust factorization for the affine camera: Analysis and comparison
- Authors/Creators
- D.Q. Huynh (Author/Creator) - Murdoch UniversityA. Heyden (Author/Creator) - Malmö University
- Publication Details
- 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., pp.126-131
- Conference
- 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 (Singapore, 02/12/2002–05/12/2002)
- Publisher
- IEEE
- Identifiers
- 991005543968207891
- Copyright
- © 2002 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, Pages 126-131.
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