Projective Tracking Based on Second-Order Optimization on Lie Manifolds
文献类型：会议论文
| 作者 | Li GW(李广伟) ; Liu YP(刘云鹏); Yin J(尹健); Shi ZL(史泽林)
|
| 出版日期 | 2008 |
| 会议名称 | Chinese Conference one Pattern Recognition |
| 会议日期 | December 22-24, 2008 |
| 会议地点 | Beijing, China |
| 关键词 | projective transformation target tracking Lie manifolds geometric optimization |
| 页码 | 199-204 |
| 中文摘要 | Template tracking based on the space transformation model can usually be reduced to solve a nonlinear least squares optimization problem over a Lie manifold of parameters. The algorithm on the vector space has more limitations when it concerns the nonlinear projective warps. Exploiting the special structure of Lie manifolds allows one to devise a method for optimizing on Lie manifolds in a computationally efficient manner. The mapping between a Lie group and its Lie algebra can make us to utilize the specific properties of the target tracking to propose a second-order minimization tracking method. This approach needs not calculating the Hessian matrix and reduces the computation complexity. The comparative experiments with the algorithm based on the vector space and the Gauss-Newton algorithm based on the Lie algebra parameterization validate the feasibility and high effectiveness of our method. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | Chinese Assoc Automat, Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, CAA, Pattern Recognit & Machine Intelligence Comm, IEEE |
| 会议录 | PROCEEDINGS OF THE 2008 CHINESE CONFERENCE ON PATTERN RECOGNITION (CCPR 2008)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 978-1-4244-2316-3 |
| WOS记录号 | WOS:000264749900037 |
| 源URL | [http://ir.sia.cn/handle/173321/8008]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Li GW,Liu YP,Yin J,et al. Projective Tracking Based on Second-Order Optimization on Lie Manifolds[C]. 见:Chinese Conference one Pattern Recognition. Beijing, China. December 22-24, 2008. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。