3D registration using a new implementation of the ICP algorithm based on a comprehensive lookup matrix:: Application to medical imaging

被引：66
|
作者：
Almhdie, Ahmad
Leger, Christophe
Deriche, Mohamed
Ledee, Roger
机构：
[1] Univ Orleans, Lab Elect Signals & Images, F-45067 Orleans, France
[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
来源：
PATTERN RECOGNITION LETTERS | 2007年 / 28卷 / 12期
关键词：
surface registration; ICP algorithm; point matching; medical data;
D O I：
10.1016/j.patrec.2007.03.005
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The iterative closest point (ICP) algorithm is an efficient algorithm for robust rigid registration of 3D data. Results provided by the algorithm are highly dependent upon the step of finding corresponding pairs between the two sets of 3D data before registration. In this paper, a look up matrix is introduced in the point matching step to enhance the overall ICP performance. Convergence properties and robustness are evaluated in the presence of Gaussian and impulsive noise, and under different data set sizes. The new algorithm has been evaluated on 3D medical data. It has been applied successfully to register closed surfaces acquired using different medical imaging modalities. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码：1523 / 1533
页数：11
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