An approach to gesture recognition is presented in which gestures are modelled probabilistically as sequences of visual events. These events are matched to visual input using prob...
This paper presents an interactive image segmentation framework which is ultra-fast and accurate. Our framework, termed "CO3", consists of three components: COupled repr...
We present a system known as Med-LIFE (Medical application of Learning, Image Fusion, and Exploration) currently under development for medical image analysis. This pipelined syste...
This paper addresses the problem of remote browsing of 3D scenes. Texture and geometry information are both available at server side in the form of scalably compressed images and ...
Nicola Brusco, Pietro Zanuttigh, David Taubman, Gu...
This article proposes the use of autonomous actors for navigation support within complex virtual medical objects reconstructed from Computed Tomography or Magnetic Resonance Imagi...