Statistical Approaches to Feature-Based Object Recognition
International Journal of Computer Vision
Computable elastic distances between shapes
SIAM Journal on Applied Mathematics
Group Actions, Homeomorphisms, and Matching: A General Framework
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
A Cooperative Algorithm for Stereo Matching and Occlusion Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
A Feature Registration Framework Using Mixture Models
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
A unified framework for alignment and correspondence
Computer Vision and Image Understanding
A Robust Algorithm for Point Set Registration Using Mixture of Gaussians
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Spectral Technique for Correspondence Problems Using Pairwise Constraints
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Shape matching and registration by data-driven EM
Computer Vision and Image Understanding
The Sinkhorn-Knopp Algorithm: Convergence and Applications
SIAM Journal on Matrix Analysis and Applications
Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kullback Leibler divergence based curve matching method
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Landmark matching via large deformation diffeomorphisms
IEEE Transactions on Image Processing
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We present a novel multiple-linked iterative closest point method to estimate correspondences and the rigid/non-rigid transformations between point-sets or shapes. The estimation task is carried out by maximizing a symmetric similarity function, which is the product of the square roots of correspondences and a kernel correlation. The local mean square error analysis and robustness analysis are provided to show our method's superior performance to the kernel correlation method.