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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Log-Euclidean Kernels for Sparse Representation and Dictionary Learning 会议论文 IEEE International Conference on Computer Vision (ICCV), Sydney, AUSTRALIA, 2013-12-01 作者:  Li, Peihua;  Wang, Qilong;  Zuo, Wangmeng;  Zhang, Lei 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/11 Image registration based on log-polar transform and SIFT features (EI CONFERENCE) 会议论文 2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China Ding N.; Liu Y.; Jin Y.; Zhu M. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 This paper describes a novel image registration method that combines log-polar transform and SIFT to recover similarity transformations (rotation/ scale/ translation).We extracts SIFT feature points in the two images firstly. Then  we use threshold Euclidean distance to coarsely match the feature points. After that  the log-polar transform is applied to compute the rotation and scale parameters. And we can obtain the translation parameter by the location relationship of the feature points. 2010 IEEE.   Human Action Recognition under Log-Euclidean Riemannian Metric 会议论文 COMPUTER VISION - ACCV 2009, PT I, 2010 作者:  Hu, WM;  Yuan, CF 收藏  |  浏览/下载：13/0  |  提交时间：2015/08/19 Real-time visual tracking via incremental covariance model update on Log-Euclidean Riemannian manifold 会议论文 the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR, 2009 作者:  Wang, Jinqiao;  Lu, Hanqing 收藏  |  浏览/下载：12/0  |  提交时间：2015/08/19 Visual tracking via incremental Log-Euclidean Riemannian subspace learning 会议论文 IEEE International Conference on Computer Vision and Pattern Recognition, 2008 作者:  Xi Li;  Weiming Hu;  Zhongfei Zhang;  Xiaoqin Zhang;  Mingliang Zhu 收藏  |  浏览/下载：15/0  |  提交时间：2017/02/24 Locality preserving projection on SPD matrix Lie group: algorithm and analysis 会议论文 SCIENCE CHINA-INFORMATION SCIENCES, 2018 作者:  Li, YY;  Lu, RQ 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/25 manifold  learning  SPD  matrix  Lie  group  locally  preserving  projection  Laplace  operator  Log-Euclidean  metric