17 search results - page 4 / 4 » Efficiently Learning Random Fields for Stereo Vision with Sp... |
AAAI
2004
13 years 6 months ago
2004
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in Markov Random Fields (MRFs) is an NP-hard problem, and thus research has focussed on either finding efficiently solvable subclasses (e.g. t...