Rui. Zhang and Yiming. Pi
Human Body Configuration using Bayesian Model
2498 - 2503
2008
2
7
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/7193
https://publications.waset.org/vol/19
World Academy of Science, Engineering and Technology
In this paper we present a novel approach for human
Body configuration based on the Silhouette. We propose to address
this problem under the Bayesian framework. We use an effective
Model based MCMC (Markov Chain Monte Carlo) method to solve
the configuration problem, in which the best configuration could be
defined as MAP (maximize a posteriori probability) in Bayesian
model. This model based MCMC utilizes the human body model to
drive the MCMC sampling from the solution space. It converses the
original high dimension space into a restricted subspace constructed
by the human model and uses a hybrid sampling algorithm. We
choose an explicit human model and carefully select the likelihood
functions to represent the best configuration solution. The
experiments show that this method could get an accurate
configuration and timesaving for different human from multiviews.
Open Science Index 19, 2008