Knowledge Commons of Institute of Automation,CAS
LIE GROUP FRAMEWORK OF ITERATIVE CLOSEST POINT ALGORITHM FOR n-D DATA REGISTRATION | |
Ying, Shihui1,2; Peng, Jigen1; Du, Shaoyi3; Qiao, Hong4![]() | |
发表期刊 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
![]() |
2009-09-01 | |
卷号 | 23期号:6页码:1201-1220 |
文章类型 | Article |
摘要 | The iterative closet point (ICP) method is a dominant method for data registration that has attracted extensive attention. In this paper, a unified mathematical model of ICP based on Lie group representation is established. Under the framework, the registration problem is formulated into an optimization problem over a certain Lie group. In order to simplify the model and to reduce the dimension of parameter space, the translation part of geometric transformation is eliminated by calibrating the centers of two data sets under registration. As a result, a fast algorithm by solving an iterative linear system is designed for the optimization problem on Lie groups. Moreover, PCA and ICA methods are jointly applied to estimate the initial registration to achieve the global minimum. Finally, several illustrations and comparison experiments are presented to test the performance of the proposed algorithm. |
关键词 | Icp Lie Group Registration Iterative Linear Systems Initial Parameters |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | NONRIGID REGISTRATION ; IMAGE REGISTRATION ; 3D ; SURFACES ; MATRIX ; SETS ; ICP |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000269776400008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3015 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
作者单位 | 1.Xi An Jiao Tong Univ, Inst Informat & Syst Sci, Fac Sci, Xian 710049, Peoples R China 2.Shanghai Univ, Fac Sci, Dept Math, Shanghai 200444, Peoples R China 3.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Peoples R China 4.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligent Sci, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Ying, Shihui,Peng, Jigen,Du, Shaoyi,et al. LIE GROUP FRAMEWORK OF ITERATIVE CLOSEST POINT ALGORITHM FOR n-D DATA REGISTRATION[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2009,23(6):1201-1220. |
APA | Ying, Shihui,Peng, Jigen,Du, Shaoyi,&Qiao, Hong.(2009).LIE GROUP FRAMEWORK OF ITERATIVE CLOSEST POINT ALGORITHM FOR n-D DATA REGISTRATION.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,23(6),1201-1220. |
MLA | Ying, Shihui,et al."LIE GROUP FRAMEWORK OF ITERATIVE CLOSEST POINT ALGORITHM FOR n-D DATA REGISTRATION".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 23.6(2009):1201-1220. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论