Visual Uncertainty: A Bayesian Approach, by Simon Barthelmé

Wednesday, November 13, 2013, 14:00 to 15:00, room F107, INRIA Montbonnot

Seminar by Simon Barthelmé, Université de Genève

 

Abstract. Visual processing is fraught with uncertainty: the brain’s visual system must attempt to estimate physical properties despite missing information and noisy mechanisms. Sometimes high visual uncertainty translates into lack of confidence in our visual perception: we are aware of not seeing well. The mechanism by which we achieve this awareness – how we assess our own visual uncertainty – is unknown, but its investigation is critical to our understanding of visual decision mechanisms. In this talk I will describe some experimental and modelling results on visual confidence. I’ll focus on the hypothesis that the visual system performs probabilistic inference to estimate object properties, which predicts that visual confidence corresponds to an evalutation of posterior uncertainty. 

Joint work with Pascal Mamassian (LPP, CNRS).

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