Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Solid shape
Least-Squares Estimation of Transformation Parameters Between Two Point Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Experiments in Curvature-Based Segmentation of Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rigid, affine and locally affine registration of free-form surfaces
International Journal of Computer Vision
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space: Its Natural Operators and Differential Invariants
IPMI '91 Proceedings of the 12th International Conference on Information Processing in Medical Imaging
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Registration and integration of textured 3-D data
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Experimental analysis of harmonic shape images
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
Robust Point Correspondence for Image Registration Using Optimization with Extremal Dynamics
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Registration of 3D Points Using Geometric Algebra and Tensor Voting
International Journal of Computer Vision
Multisource data registration based on NURBS description of contours
International Journal of Remote Sensing
Application of Kohonen network for automatic point correspondence in 2D medical images
Computers in Biology and Medicine
Smooth 3-D Reconstruction for 2-D Histological Images
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Graph-based range image registration combining geometric and photometric features
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Registration of 2D Points Using Geometric Algebra and Tensor Voting
Journal of Mathematical Imaging and Vision
Multimodal genetic algorithms-based algorithm for automatic point correspondence
Pattern Recognition
Locally switching between cost functions in iterative non-rigid registration
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
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Accurate and robust correspondence calculations are very important in many medical and biological applications. Often, the correspondence calculation forms part of a rigid registration algorithm, but accurate correspondences are especially important for elastic registration algorithms and for quantifying changes over time. In this paper, a new correspondence calculation algorithm, CSM (Correspondence by Sensitivity to Movement), is described. A robust corresponding point is calculated by determining the sensitivity of a correspondence to movement of the point being matched. If the correspondence is reliable, a perturbation in the position of this point should not result in a large movement of the correspondence. A measure of reliability is also calculated. This correspondence calculation method is independent of the registration transformation and has been incorporated into both a 2D elastic registration algorithm for warping serial sections and a 3D rigid registration algorithm for registering pre and postoperative facial range scans. These applications use different methods for calculating the registration transformation and accurate rigid and elastic alignment of images has been achieved with the CSM method. It is expected that this method will be applicable to many different applications and that good results would be achieved if it were to be inserted into other methods for calculating a registration transformation from correspondences.