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Joint geometric and photometric visual tracking based on lie group
Li CX(李晨曦); Shi ZL(史泽林); Liu YP(刘云鹏); Liu TC(刘天赐)
作者部门光电信息技术研究室
会议名称3rd International Conference on Geometric Science of Information, GSI 2017
会议日期November 7-9, 2017
会议地点Paris, France
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版者Springer Verlag
出版地Berlin
2017
页码291-298
收录类别EI ; CPCI(ISTP)
EI收录号20174604409904
WOS记录号WOS:000440482500034
产权排序1
ISSN号0302-9743
ISBN号978-3-319-68444-4
关键词Visual Tracking Illumination Variations Lie Algebra Efficient Second-order Minimization Lie Group
摘要

This paper presents a novel efficient and robust direct visual tracking method under illumination variations. In our approach, non-Euclidean Lie group characteristics of both geometric and photometric transformations are exploited. These transformations form Lie groups and are parameterized by their corresponding Lie algebras. By applying the efficient second-order minimization trick, we derive an efficient second-order optimization technique for jointly solving the geometric and photometric parameters. Our approach has a high convergence rate and low iterations. Moreover, our approach is almost not affected by linear illumination variations. The superiority of our proposed method over the existing direct methods, in terms of efficiency and robustness is demonstrated through experiments on synthetic and real data.

语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/21235
专题光电信息技术研究室
通讯作者Li CX(李晨曦)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.Key Laboratory of Opto-electronic Information Processing, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China
4.The Key Lab of Image Understanding and Computer Vision, Shenyang, Liaoning Province, 110016, China
推荐引用方式
GB/T 7714
Li CX,Shi ZL,Liu YP,et al. Joint geometric and photometric visual tracking based on lie group[C]. Berlin:Springer Verlag,2017:291-298.
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