Matrix analysis
SIAM Journal on Scientific and Statistical Computing
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector Space Projections: A Numerical Approach to Signal and Image Processing, Neural Nets, and Optics
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Global Solution to Sparse Correspondence Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Softassign Procrustes Matching Algorithm
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Unsupervised Learning of an Atlas from Unlabeled Point-Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A POCS-Based Graph Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching by Linear Programming and Successive Convexification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
Neural Computation
Shape context and chamfer matching in cluttered scenes
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Graph matching by relaxation of fuzzy assignments
IEEE Transactions on Fuzzy Systems
Rotation invariant non-rigid shape matching in cluttered scenes
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
An evolutionary image matching approach
Applied Soft Computing
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Point matching is a challenging problem in the fields of computer vision, pattern recognition and medical image analysis, and correspondence estimation is the key step in point matching. This paper presents a quadratic programming based cluster correspondence projection (QPCCP) algorithm, where the optimal correspondences are searched via gradient descent and the constraints on the correspondence are satisfied by projection onto appropriate convex set. In the iterative projection process of the proposed algorithm, the quadratic programming technique, instead of the traditional POCS based scheme, is employed to improve the accuracy. To further reduce the computational cost, a point clustering technique is introduced and the projection is conducted on the point clusters instead of the original points. Compared with the well-known robust point matching (RPM) algorithm, no explicit annealing process is required in the proposed QPCCP scheme. Comprehensive experiments are performed to verify the effectiveness and efficiency of the QPCCP algorithm in comparison with existing representative and state-of-the-art schemes. The results show that it can achieve good matching accuracy while reducing greatly the computational complexity.