We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Abstract. In this work, we present a method for the integration of feature and intensity information for non rigid registration. Our method is based on a free-form deformation mode...
Xenophon Papademetris, Andrea P. Jackowski, Robert...
This paper is focused on the Co-segmentation problem
[1] – where the objective is to segment a similar object from
a pair of images. The background in the two images may be
ar...
In this paper we propose a novel method to recover the 3D shape of the knee and of the prosthesis for the patients that have undergone total knee replacement surgery. We address t...
Mihai Sardarescu, Nikos Paragios, Nikos Komodakis,...
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...