A Modified Point Matching Method for Non-Rigid Image Registration

Authors

Jintai Shangguan, 1.Dept. of Computer Science and Technology, Changzhi College, Changzhi 046011, China;Follow
Yawen Dang, 2.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China;
Wei Lian, 1.Dept. of Computer Science and Technology, Changzhi College, Changzhi 046011, China;

Abstract

Abstract: Aiming at the problem that the registration results tend to converge to local minima due to the complexity of the relative position changes between two point sets in the non-rigid body point matching process, a joint estimation method for non-rigid body point matching based on precenter alignment is proposed, a modified matching method for non-rigid image registration based on centre preregistration is proposed. To better achieve the point matching accuracy between two point sets, a centre preregistration step is applied before the iterative closest point matching algorithm, which converges to a solution more close to a global optimum and thus better matching results. The simulation results show that the proposed method achieves better matching accuracy than the traditional algorithm without significantly increased computation.

Recommended Citation

Shangguan, Jintai; Dang, Yawen; and Lian, Wei (2022) "A Modified Point Matching Method for Non-Rigid Image Registration," Journal of System Simulation: Vol. 34: Iss. 7, Article 10.
DOI: 10.16182/j.issn1004731x.joss.21-0073
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/10

First Page

1482

Revised Date

2021-04-20

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0073

Last Page

1489

CLC

TP391.4

Recommended Citation

Jintai Shangguan, Yawen Dang, Wei Lian. A Modified Point Matching Method for Non-Rigid Image Registration[J]. Journal of System Simulation, 2022, 34(7): 1482-1489.

DOI

10.16182/j.issn1004731x.joss.21-0073