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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hu, X. Ahuja, N. |
| Copyright Year | 1992 |
| Description | Author affiliation: Beckman Inst., Illinois Univ., Urbana, IL, USA (Hu, X.; Ahuja, N.) |
| Abstract | Presents a model-based algorithm for estimating motion from monocular image sequences. The authors first present a two-view motion algorithm and then extend it to multiple views. The two-view algorithm requires generally 6 pairs of point correspondences to give unique solution of the motion parameters. However, when the used points lie on a Maybank quadric, the algorithm requires 7 pairs of point correspondences to give double solutions. Object-centered motion representations and a motion model of constant acceleration are used to estimate motion parameters from long image sequences. The algorithm guarantees globally optimal solution. Since the algorithm does not involve structure parameters, it contains the least number of unknowns and is hence more efficient and robust than the existing ones. Experimental results with real image data are presented. The same method can be applied to solve for motions described by second or higher orders of polynomials. |
| Starting Page | 655 |
| Ending Page | 659 |
| File Size | 501442 |
| Page Count | 5 |
| File Format | |
| ISBN | 081862910X |
| DOI | 10.1109/ICPR.1992.201646 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-08-30 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion estimation Acceleration Image sequences Robustness Polynomials Yield estimation US Department of Commerce Equations |
| Content Type | Text |
| Resource Type | Article |
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