Gaze Shifts as Dynamical Random Sampling
Giuseppe Boccignone and Mario Ferraro
In: 2nd European Workshop on Visual Information Processing, July 5th - 6th 2010, Paris, France.

Abstract

We discuss how gaze behavior of an observer can be simulated as a Monte Carlo sampling of a distribution obtained from the saliency map of the observed image. To such end we propose the Levy Hybrid Monte Carlo algorithm, a dynamic Monte Carlo method in which the walk on the distribution landscape is modelled through Levy flights. Some preliminary results are presented comparing with data gathered by eye-tracking human observers involved in an emotion recognition task from facial expression displays

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