SIA OpenIR  > 空间自动化技术研究室
Non-Rigid Point Set Registration via Mixture of Asymmetric Gaussians with Integrated Local Structures
Fu ML(付明亮); Zhou WJ(周维佳)
作者部门空间自动化技术研究室
会议名称2016 IEEE International Conference on Robotics and Biomimetics (ROBIO 2016)
会议日期December 3-7, 2016
会议地点Qingdao, China
会议录名称Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO 2016)
出版者IEEE
出版地NEW YORK
2016
页码999-1004
收录类别EI ; CPCI(ISTP)
EI收录号20171403535137
WOS记录号WOS:000405724600168
产权排序1
ISBN号978-1-5090-4363-7
摘要As a fundamental problem in computer vision community, non-rigid point set registration is a challenging topic since the corresponding transformation model is often unknown and difficult to model. In this paper, we present a robust method for non-rigid point set registration. Firstly, a mixture of asymmetric Gaussian model (MoAG) is employed to capture spatially asymmetric distributions which the Gaussian mixture model (GMM) based methods neglect instinctively. Secondly, local structures among adjacent points are integrated into the MoAG-based point set registration framework to improve the correspondence estimation. Thirdly, Expectation-Maximization (EM) algorithm which provides a numerical method for finding maximum likelihood estimators is utilized to estimate parameters of the latent variable model in our proposed method. The transformation model is solved under regularization theory in the Reproducing Kernel Hilbert Space (RKHS). Conveniently, a fast implementation is achieved by the sparse approximation. Finally, experiments results show that the robustness of our algorithm outperforms the comparative state of art methods under various types of distortions, such as deformation, noise, outliers and occlusion.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/20084
专题空间自动化技术研究室
通讯作者Fu ML(付明亮)
作者单位1.University of Chinese Academy of Sciences, Beijing, 100049, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning province, 110016, China
推荐引用方式
GB/T 7714
Fu ML,Zhou WJ. Non-Rigid Point Set Registration via Mixture of Asymmetric Gaussians with Integrated Local Structures[C]. NEW YORK:IEEE,2016:999-1004.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Non-Rigid Point Set (421KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Fu ML(付明亮)]的文章
[Zhou WJ(周维佳)]的文章
百度学术
百度学术中相似的文章
[Fu ML(付明亮)]的文章
[Zhou WJ(周维佳)]的文章
必应学术
必应学术中相似的文章
[Fu ML(付明亮)]的文章
[Zhou WJ(周维佳)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Non-Rigid Point Set Registration via Mixture of Asymmetric Gaussians with Integrated Local Structures.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。