A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
This paper presents a new real-time localization system for a mobile robot. We show that autonomous navigation is possible in outdoor situation with the use of a single camera and ...
Eric Royer, Maxime Lhuillier, Michel Dhome, Jean-M...
– We describe a monocular robot vision system which accomplishes accurate 3-DOF dead-reckoning, closedloop motion control, and precipice and obstacle detection, all in dynamic en...
Jason Campbell, Rahul Sukthankar, Illah R. Nourbak...
We present a system that combines multiple visual navigation techniques to achieve GPS-denied, non-line-of-sight SLAM capability for heterogeneous platforms. Our approach builds o...
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...