Automated registration of dissimilar images: application to medical imagery
Computer Vision, Graphics, and Image Processing
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
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
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Interpolation artefacts in mutual information-based image registration
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Handbook of medical imaging
Introductory Digital Image Processing: A Remote Sensing Perspective
Introductory Digital Image Processing: A Remote Sensing Perspective
Robust mixture modelling using the t distribution
Statistics and Computing
Shape Matching and Object Recognition Using Shape Contexts
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
The Softassign Procrustes Matching Algorithm
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Multi-modal Volume Registration Using Joint Intensity Distributions
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Greedy EM Algorithm for Robust T-Mixture Modeling
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
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
Bayesian Feature and Model Selection for Gaussian Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Maximum Likelihood Robust Regression by Mixture Models
Journal of Mathematical Imaging and Vision
Outlier Robust ICP for Minimizing Fractional RMSD
3DIM '07 Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling
Shape matching and registration by data-driven EM
Computer Vision and Image Understanding
Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Bayesian mixture modelling
Neurocomputing
Simultaneous nonrigid registration of multiple point sets and atlas construction
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Optimization of mutual information for multiresolution image registration
IEEE Transactions on Image Processing
Robust curve clustering based on a multivariate t-distribution model
IEEE Transactions on Neural Networks
The thin plate spline robust point matching (TPS-RPM) algorithm: A revisit
Pattern Recognition Letters
The infinite Student's t-mixture for robust modeling
Signal Processing
Registering sets of points using Bayesian regression
Neurocomputing
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The problem of registering images or point sets is addressed. At first, a pixel similarity-based algorithm for the rigid registration between single and multimodal images is presented. The images may present dissimilarities due to noise, missing data or outlying measures. The method relies on the partitioning of a reference image by a Student's t-mixture model (SMM). This partition is then projected onto the image to be registered. The main idea is that a t-component in the reference image corresponds to a t-component in the image to be registered. If the images are correctly registered the distances between the corresponding components is minimized. Moreover, the extension of the method to the registration of point clouds is also proposed. The use of SMM components is justified by the property that they have heavier tails than standard Gaussians, thus providing robustness to outliers. Experimental results indicate that, even in the case of low SNR or important amount of dissimilarities due to temporal changes, the proposed algorithm compares favorably to the mutual information method for image registration and to the Iterative Closest Points (ICP) algorithm for the alignment of point sets.