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Foveated analysis of image features at fixations
U. Rajashekar and I. van der Linde and A. C. Bovik and L. K. Cormack
Vision Research
Abstract
Analysis of the statistics of image features at observers’ gaze can provide insights
into the mechanisms of fixation selection in humans. Using a foveated analysis frame-
work, in which image patches were analyzed at the resolution corresponding to their
eccentricity from the prior fixation, we studied the statistics of four low-level local
image features: luminance, RMS contrast, and bandpass outputs of both luminance
and contrast, and discovered that the image patches around human fixations had,
on average, higher values of each of these features at all eccentricities than the image
patches selected at random. Bandpass contrast showed the greatest difference be-
tween human and random fixations, followed by bandpass luminance, RMS contrast,
and luminance. An eccentricity-based analysis showed that shorter saccades were
more likely to land on patches with higher values of these features. Compared to a
full-resolution analysis, foveation produced an increased difference between human
and random patch ensembles for contrast and its higher-order statistics.
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