A Probabilistic Hypothesis for the Prediction of Visual Fixations

Abstract

A hypothesis is proposed that predicts regions where fixations are most likely to occur on a visual pattern viewed by a human test subject. A scheme is developed for evaluating a fixation probability density function for any given pattern, based on an assumed fixation probability density function for a pattern consisting of a single dot. Predictions of the… (More)
DOI: 10.1109/TSMC.1975.5408434

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