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...
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized a...
Juan Ruiz-Alzola, Carl-Fredrik Westin, Simon K. Wa...
This paper presents a method for the registration of range image pairs that were captured from different locations. The proposed approach assumes that a common 3D plane is least v...
Joachim Bauer, Konrad F. Karner, Andreas Klaus, Ro...
The registration of 3D form features is essential to the supporting of reverse shape design processes. Extracting an editable shape feature from unordered data points is notorious...
Joris S. M. Vergeest, Sander Spanjaard, Chensheng ...
We investigate 3D shape reconstruction from measurement data in the presence of constraints. The constraints may fix the surface type or set geometric relations between parts of a...