Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF's). These three MRF's model a smooth fie...
In recent years, while search engines have become more and more powerful, several specialized search engines have been developed for different domains (e.g. library services, serv...
We show that standard formulations of intersection type systems are unsound in the presence of computational effects, and propose a solution similar to the value restriction for ...
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...