Robust point set registration using EM-ICP with information-theoretically optimal outlier handling

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2011, Pages 2465-2472

  Hermans, Jeroen ^a   Smeets, Dirk ^a   Vandermeulen, Dirk ^a   Suetens, Paul ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

GEOMETRY; ITERATIVE METHODS; MAXIMUM PRINCIPLE; MIXTURES; OPTIMIZATION; PATTERN RECOGNITION; STATISTICS;

EXPECTATION - MAXIMIZATIONS; ITERATIVE CLOSEST POINTS; KERNEL DENSITY ESTIMATION; KULLBACK LEIBLER DIVERGENCE; POINT CLOUD REGISTRATION; POINT-SET REGISTRATIONS; REGISTRATION ALGORITHMS; REGISTRATION TRANSFORMATION;

INFORMATION THEORY;

EID: 80052885957     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995744     Document Type: Conference Paper

References (15)

1. P. J. Besl and N. D. McKay. A method for registration of 3-d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):239-256, 1992.
2. Y. Chen and G. Medioni. Object modeling by registration of multiple range images. In Proceedings of IEEE International Conference on Robotics and Automation, page 27242729, 1991.
3. H. Chui and A. Rangarajan. A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding, 89(2-3):114-141, 2003.
4. J. A. Fessler and A. O. Hero. Space-alternating generalized expectation-maximization algorithm. IEEE Transactions on Signal Processing, 42(10):2664-2677, 1994.
5. S. Granger and X. Pennec. Multi-scale em-icp: A fast and robust approach for surface registration. In Proceedings of European Conference on Computer Vision, pages 418-432, 2002.
6. P. J. Huber. Robust Statistics. Wiley series in probability and mathematical statistics. 1981.
7. B. Jian and B. Vemuri. A robust algorithm for point set registration using mixture of gaussians. In Proceedings of the IEEE International Conference on Computer Vision, page 12461251, 2005.
8. L. J. Latecki, M. Sobel, and R. Lakaemper. New em derived from kullback-leibler divergence. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 267-276, 2006.
9. A. Myronenko and X. Song. Point set registration: Coherent point drift. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(12):2262-2275, 2010.
10. A. S. Roy, A. Gopinath, and A. Rangarajan. Deformable density matching for 3d non-rigid registration of shapes. In Proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I, page 942949, 2007.
11. Y. Tsin and T. Kanade. A correlation-based approach to robust point set registration. In Proceedings of the 8th European Conference on Computer Vision, pages 558-569, 2004.
12. F. Wang, T. Syeda-Mahmood, B. C. Vemuri, D. Beymer, and A. Rangarajan. Closed-form jensen-renyi divergence for mixture of gaussians and applications to group-wise shape registration. In Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I, pages 648-655, 2009.
13. F. Wang, B. C. Vemuri, and A. Rangarajan. Groupwise point pattern registration using a novel cdf-based jensen-shannon divergence. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 1283-1288, 2006.
14. Y. Wang, K. Woods, and M. McClain. Information-theoretic matching of two point sets. IEEE Transactions on Image Processing, 11(8):868-872, 2002.
15. Z. Zhang. Iterative point matching for registration of freeform curves and surfaces. International Journal of Computer Vision, 13(2):119-152, 1994.