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MIA
2010
170views more  MIA 2010»
13 years 16 days ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
MICCAI
2010
Springer
13 years 4 months ago
Simultaneous Geometric - Iconic Registration
In this paper, we introduce a novel approach to bridge the gap between the landmark-based and the iconic-based voxel-wise registration methods. The registration problem is formulat...
Aristeidis Sotiras, Yangming Ou, Ben Glocker, Chri...
CVPR
2010
IEEE
13 years 9 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
IPMI
2009
Springer
13 years 10 months ago
Dense Registration with Deformation Priors
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgi...
CVPR
2007
IEEE
14 years 7 months ago
Efficient MRF Deformation Model for Non-Rigid Image Matching
We propose a novel MRF-based model for deformable image matching (also known as registration). The deformation is described by a field of discrete variables, representing displace...
Alexander Shekhovtsov, Ivan Kovtun, Václav ...