Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
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 this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes:...
Abstract-- The dynamics of exploration vs exploitation decisions are explored in the context of robotic search problems. Building on prior work on robotic search together with our ...
Interactive image segmentation traditionally involves the
use of algorithms such as Graph Cuts or Random Walker.
Common concerns with using Graph Cuts are metrication
artifacts ...