Robust Point Set Registration Using Mixture of Gaussians

Copyright (C) 2008-2009 Bing Jian and Baba C. Vemuri

Last modified on June 07, 2009

Description

This website hosts implementations of the robust point set registration algorithm discribed in the ICCV'05 paper: A Robust Algorithm for Point Set Registration Using Mixture of Gaussians, Bing Jian and Baba C. Vemuri.

Currently we provide implementations in C++, MATLAB, and Python, with full source code. You can download the source code for free, use and change it as you like, but please refer to this website and cite our paper.

Acknowledgment

1. This research was in part supported by the National Institutes of Health (NIH RO1 NS046812 and NS42075).
2. This work has benefited a lot from the code and datasets used in several past related work including:
• Haili Chui, Anand Rangarajan: A New Algorithm for Non-Rigid Point Matching. CVPR 2000: 2044-2051 http://www.cis.ufl.edu/~anand/students/chui/research.html
• Andrew Fitzgibbon, Robust Registration of 2D and 3D Point Sets. BMVC 2001 http://www.robots.ox.ac.uk/~awf/lmicp/
• Yanghai Tsin, Takeo Kanade: A Correlation-Based Approach to Robust Point Set Registration. ECCV (3) 2004: 558-569 http://www.cs.cmu.edu/~ytsin/KCReg/
• Andriy Myronenko, Xubo B. Song, Miguel A. Carreira-Perpinan: Non-rigid point set registration: Coherent Point Drift. NIPS 2006: 1009-1016 http://www.csee.ogi.edu/~myron/matlab/cpd/
3. This program was also tested on some other datasets provided by Adrian Peter, Tibério S. Caetano, Michal Sofka.
• Adrian Peter and Anand Rangarajan, "A New Closed-Form Information Metric for Shape Analysis," Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2006.
• Tibério S. Caetano, Terry Caelli, Dale Schuurmans, Dante Augusto Couto Barone: Graphical Models and Point Pattern Matching. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1646-1663 (2006)
• Michal Sofka, Gehua Yang, Charles V. Stewart: Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
4. Many thanks go to Santhosh Kodipaka, Ting Chen and Andriy Myronenk for testing this program and providing helpful suggestions.

FAQ

1. How do I get the latest source code from this website?

Related Links

1. http://www.cise.ufl.edu/research/cvgmi/Software.php#gmmreg
2. http://www.cis.ufl.edu/~anand/students/chui/research.html
3. http://www.robots.ox.ac.uk/~awf/lmicp/
4. http://www.cs.cmu.edu/~ytsin/KCReg/
5. http://www.csee.ogi.edu/~myron/matlab/cpd/
6. http://www2.cs.man.ac.uk/~hous1/#downloads

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Please address any questions, comments to bing.jian@gmail.com