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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lili Ma Chengyu Cao Hovakimyan, N. Woolsey, C. Guoqiang Hu |
| Copyright Year | 2009 |
| Abstract | This paper discusses the 3D affine motion estimation problem using two cameras via observations of a single feature point. The unknown parameters to be estimated include the nine rotational parameters, the three translational parameters, and the 3D position. One camera assumes a parabolic projection. The other camera is the conventional camera that has a planar projection surface. The parabolic camera is needed due to its ability of estimating the nine rotational parameters independently of the other camera. The conventional camera is utilized to solve the depth ambiguity problem. A closed-loop nonlinear observer is developed for the affine motion estimation problem. Simulation results are presented to show the robustness of the proposed motion estimation scheme. |
| Starting Page | 5085 |
| Ending Page | 5090 |
| File Size | 893451 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424445233 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2009.5160177 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Motion estimation Cameras Motion control Stereo vision Navigation Nonlinear dynamical systems Linear systems Parameter estimation Robustness Centralized control stereo vision affine motion parabolic projection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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