316 search results - page 6 / 64 » A Markov Chain Monte Carlo Approach to Stereovision |
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
PAMI
2002
13 years 7 months ago
2002
SAC
2008
ACM
13 years 7 months ago
2008
ACM
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
PR
2011
12 years 10 months ago
2011
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
BMVC
2000
13 years 8 months ago
2000
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...