Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic f...
Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. ...
In non-parametric image registration it is often not possible to work with the original resolution of the images due to high processing times and lack of memory. However, for some ...
Medical image fusion is becoming increasingly popular for enhancing diagnostic accuracy by intelligently ‘fusing’ information obtained from two different images. These images ...
Girish Gopalakrishnan, S. V. Bharath Kumar, Ajay N...
We introduce a novel probabilistic approach for nonparametric nonrigid image registration using generalized elastic nets, a model previously used for topographic maps. The idea of...
Adaptive mesh refinement (AMR) is a numerical simulation technique used in computational fluid dynamics (CFD). By using a set of nested grids of different resolutions, AMR combine...
Gunther H. Weber, Oliver Kreylos, Terry J. Ligocki...