Projective Tracking Based on Second-Order Optimization on Lie Manifolds

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 光电信息技术研究室

	Projective Tracking Based on Second-Order Optimization on Lie Manifolds
	Li GW(李广伟); Liu YP(刘云鹏); Yin J(尹健); Shi ZL(史泽林)
	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
内容类型	会议论文
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.