Joint geometric and photometric visual tracking based on lie group
文献类型：会议论文
| 作者 | Liu YP(刘云鹏) ; Li CX(李晨曦); Shi ZL(史泽林); Liu TC(刘天赐)
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| 出版日期 | 2017 |
| 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 |
| 关键词 | Visual tracking Illumination variations Lie algebra Efficient second-order minimization Lie group |
| 页码 | 291-298 |
| 通讯作者 | Li CX(李晨曦) |
| 中文摘要 | 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. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-319-68444-4 |
| WOS记录号 | WOS:000440482500034 |
| 源URL | [http://ir.sia.cn/handle/173321/21235]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, 100049, China 2.Key Laboratory of Opto-electronic Information Processing, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China 3.The Key Lab of Image Understanding and Computer Vision, Shenyang, Liaoning Province, 110016, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China |
| 推荐引用方式 GB/T 7714 | Liu YP,Li CX,Shi ZL,et al. Joint geometric and photometric visual tracking based on lie group[C]. 见:3rd International Conference on Geometric Science of Information, GSI 2017. Paris, France. November 7-9, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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