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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongdong Li Hartley, R. Jae-hak Kim |
| Copyright Year | 2008 |
| Description | Author affiliation: RSISE, Australian Nat. Univ., Canberra, ACT (Hongdong Li; Hartley, R.; Jae-hak Kim) |
| Abstract | A well-known theoretical result for motion estimation using the generalized camera model is that 17 corresponding image rays can be used to solve linearly for the motion of a generalized camera. However, this paper shows that for many common configurations of the generalized camera models (e.g., multi-camera rig, catadioptric camera etc.), such a simple 17-point algorithm does not exist, due to some previously overlooked ambiguities. We further discover that, despite the above ambiguities, we are still able to solve the motion estimation problem effectively by a new algorithm proposed in this paper. Our algorithm is essentially linear, easy to implement, and the computational efficiency is very high. Experiments on both real and simulated data show that the new algorithm achieves reasonably high accuracy as well. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 281812 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424422425 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2008.4587545 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion estimation Cameras Equations Iterative algorithms Matrix decomposition Australia Computational efficiency Computational modeling Singular value decomposition Testing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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