Details in mesh animations are difficult to generate but they have great impact on visual quality. In this work, we demonstrate a practical software system for capturing such deta...
Daniel Vlasic, Ilya Baran, Wojciech Matusik, Jovan...
In this paper we present a novel method for the combined hybrid visualization of the cerebral blood vessels, segmented from a 3D rotational angiography dataset, and datasets conta...
Daniel Ruijters, Drazenko Babic, Bart M. ter Haar ...
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
An iterative method for reconstructing a 3D polygonal mesh and color texture map from multiple views of an object is presented. In each iteration, the method first estimates a tex...
A common approach to human action recognition is to use 2-D silhouettes in the space-time volume as a basis for further extraction of useful features. In this paper, we present a ...