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2000

Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition

9 years 8 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
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 generated via Markov chain Monte Carlo (MCMC) techniques using a novel combination of Metropolis-coupledMCMC (MCMCMC) [2] and the Delayed Rejection Algorithm (DRA) [4]. The method is illustrated on some synthetic data containing simple geometrical objects.
M. Harkness, P. Green
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where BMVC
Authors M. Harkness, P. Green
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