Bayesian saliency using the spectral form of Relaxation aid cuts

Abstract

In the form of this simple formula has been extended to allow modeling of the differences and many Priors. The new framework in a form easily integrated into a training set.In proposed system, a group of local features are submitting sparse subspace collection system and to compute the saliency map of rough bumps on the front part of the study results are superpixels. The feature of Bayesian saliency for each pixels the observation likelihood based on the use of visual of shape based images assume that the hull to compute. Our state-of-art algorithms that work in the favor of comprehensive tests in a large data set the protrusion of the Bayesian model based saliency cuts.