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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guangwei Li Yunpeng Liu Jian Yin Zelin Shi |
| Copyright Year | 2009 |
| Description | Author affiliation: Research Institute on General Development and Argumentation of Air Force, Beijing, China (Jian Yin) || Shenyang Institute of Automation, Chinese Academy of Sciences, China (Guangwei Li; Yunpeng Liu; Zelin Shi) |
| Abstract | The Riemannian exponential map on a noncompact Lie Group, which is determined by a Riemannian metric, is different from the Lie group exponential map determined by one-parameter subgroups. The Riemannian exponential map which represents the geodesic of the optimal transformation is obtained in terms of the minimal geodesic equation on SL(n, R). Generally, the Newton optimization method on Lie group is independent of the connection but with the one-parameter group. Based on the parameterization of the manifold with the Riemannian exponential map, we propose an intrinsic Newton optimization method on special linear group and prove its locally quadratic convergence to critical point of the cost function. Our approach is slightly superior to the counterpart based on Lie group exponential map. We demonstrate this by an image registration example. |
| Starting Page | 4346 |
| Ending Page | 4351 |
| File Size | 531916 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424438716 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2009.5400115 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization methods Constraint optimization Convergence Geometry Quaternions Algebra Visual servoing Vectors Algorithm design and analysis Iterative algorithms |
| Content Type | Text |
| Resource Type | Article |
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