190 search results - page 29 / 38 » Markov Random Fields with Efficient Approximations |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
ICPR
2000
IEEE
13 years 11 months ago
2000
IEEE
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...
IPPS
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
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...