A survey of image registration techniques
ACM Computing Surveys (CSUR)
Two dimensional spline interpolation algorithms
Two dimensional spline interpolation algorithms
Markov random field modeling in computer vision
Markov random field modeling in computer vision
Across-modality registration using intensity-based cost functions
Handbook of medical imaging
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
Image registration using Markov random coefficient fields
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast parametric elastic image registration
IEEE Transactions on Image Processing
Image Registration Guided by Particle Filter
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
A non-rigid multimodal image registration method based on particle filter and optical flow
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
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Image registration is central to different applications such as medical analysis, biomedical systems, and image guidance. In this paper we propose a new algorithm for multimodal image registration. A Bayesian formulation is presented in which a likelihood term is defined using an observation model based on coefficient and geometric fields. These coefficients, which represent the local intensity polynomial transformations, as the local geometric transformations, are modeled as prior information by means of Markov random fields. This probabilistic approach allows one to find optimal estimators by minimizing an energy function in terms of both fields, making the registration between the images possible.