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Foveated analysis of image features at fixations

journal contribution
posted on 2023-08-30, 13:24 authored by Umesh Rajashekar, Ian van der Linde, Alan C. Bovik, Lawrence K. Cormack
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 framework, 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 between 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.

History

Refereed

  • Yes

Volume

47

Issue number

25

Page range

3160-3172

Publication title

Vision Research

ISSN

1878-5646

Publisher

Elsevier

Language

  • other

Legacy posted date

2010-07-28

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

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