Non-rigid registration using distance functions
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Fast image registration by hierarchical soft correspondence detection
Pattern Recognition
Multimodal Image Registration by Information Fusion at Feature Level
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Membrane nonrigid image registration
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
WBIR'06 Proceedings of the Third international conference on Biomedical Image Registration
A Gauss-Newton approach to joint image registration and intensity correction
Computer Methods and Programs in Biomedicine
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We present the concept of non-rigid matching based on demons, by reference to Maxwell's demons. We contrast this concept with the more conventional viewpoint of attraction. We show that demons and attractive points are clearly distinct for large deformations, but also that they become similar for small displacements, encompassing techniques close to optical flow. We describe a general iterative matching method based on demons, and derive from it three different non-rigid matching algorithms, one using all the image intensities, one using only contours, and one for already segmented images. At last, we present results with synthesized and real deformations, with applications to Computer Vision and Medical Image Processing.