By Topic

A Probabilistic Hypothesis for the Prediction of Visual Fixations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Srinivasan, Mandyam V. ; Department of Engineering and Applied Science, Yale University, New Haven, Conn. 06520. ; Thathachar, M. ; Deekshatulu, B.L.

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 hypothesis agree with experimental data available in the literature. When the hypothesis is used in conjunction with some assumptions, it also provides interpretations for some well-known geometrical illusions, such as the Muller-Lyer illusion. It is hoped that a study of this kind will aid in understanding some aspects of the mechanisms subserving human visual pattern recognition.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:SMC-5 ,  Issue: 4 )