Robust rigid coherent point drift algorithm based on outlier suppression and its application in image matching

Songlin Liu; Gang Sun; Zhaodong Niu; Na Li; Zengping Chen

doi:10.1117/1.JRS.9.095085

6 April 2015 Robust rigid coherent point drift algorithm based on outlier suppression and its application in image matching

Songlin Liu, Gang Sun, Zhaodong Niu, Na Li, Zengping Chen

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 9, Issue 1, 095085 (April 2015). https://doi.org/10.1117/1.JRS.9.095085

Abstract

The typical probability based point pattern matching method is coherent point drift (CPD) algorithm, which treats one point set as centroids of a Gaussian mixture model, and then fits it to the other. It uses the expectation maximization framework, where the point correspondences and transformation parameters are updated alternately. However, the anti-outlier performance of CPD is not robust enough as outliers have always been involved in the operation until the CPD converges. Hence, an automatic outlier suppression (AOS) mechanism is proposed. First, outliers are judged by a matching probability matrix. Then, transformation parameters are fitted using accurate matching point sets. Finally, the Gaussian centroids are forced to move coherently by this transformation model. AOS-CPD can efficiently improve the anti-outlier performance of rigid CPD. Furthermore, CPD is applied to image matching. A new local changing information descriptor-relative phase histogram (RPH) is designed and RPH-AOS-CPD is proposed to embed RPH measurement into AOS-CPD as a constraint condition. RPH-AOS-CPD makes full use of grayscale information besides having an excellent anti-outlier performance. The experimental results based on both synthetic and real data indicate that compared with other algorithms, AOS-CPD is more robust to outliers and RPH-AOS-CPD offers a good practicability and accuracy in image matching applications.

Citation Download Citation

Songlin Liu, Gang Sun, Zhaodong Niu, Na Li, and Zengping Chen "Robust rigid coherent point drift algorithm based on outlier suppression and its application in image matching," Journal of Applied Remote Sensing 9(1), 095085 (6 April 2015). https://doi.org/10.1117/1.JRS.9.095085

Published: 6 April 2015

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available