Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
In this article, we focus on the computation of statistics of invertible geometrical deformations (i.e., diffeomorphisms), based on the generalization to this type of data of the n...
Vincent Arsigny, Olivier Commowick, Xavier Pennec,...
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
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...