Markov random fields with higher order potentials have emerged as a powerful model for several problems in computer vision. In order to facilitate their use, we propose a new rep...
Abstract— This paper addresses the problem of people detection using 2D range data and omnidirectional vision. The range data is often used in robotics to detect person legs. Fir...
Abstract. We present a novel algorithm for interface generation of software components. Given a component, our algorithm uses learning techniques to compute a permissive interface ...
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...