Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
Patrick Etyngier, Renaud Keriven, Jean-Philippe Po...
Non-photorealistic rendering (NPR) techniques aim to outline the shape of objects and reduce visual clutter such as shadows and inner texture edges. As the first phase result of ou...
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
Many enterprises nowadays use business processes, based on the BPEL standard, to achieve their goals. These are complex, often distributed, processes. Monitoring the execution of ...
Finding correspondences between two (widely) separated views is essential for several computer vision tasks, such as structure and motion estimation and object recognition. In the...