Gradient-based analysis of non-Fourier motion.

Full Abstract

A gradient-based image analysis technique is applied to a class of non-Fourier stimuli. To create the stimuli, n translating sine waves with identical spatial and temporal frequencies, but separated by 2pi/n radians, are spatially randomly sampled to produce a P(n) stimulus. For n>or=2, the stimuli are non-Fourier. Local image gradients are represented in the form of a gradient plot, a histogram which shows the frequency of ranges of temporal gradient/spatial gradient pairs occurring. It is shown that the gradient plots contain features, oriented in gradient space, which indicate correct non-Fourier velocity. As n increases, so too does the complexity of the gradient plots, a finding which may account for the concomitant decrease in perceived coherent motion [Vision Res 37 (1997) 1459]. This paper demonstrates that the gradient plot and associated velocity plots are a useful way of assessing gradient-based motion information. Compared to the traditional Fourier based approach, gradient-based analysis can lead to different judgement of the motion information available to standard models of low-level motion processing.

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Author information

Author/s: Benton, Christopher P (CP);

Affiliation: Department of Experimental Psychology, University of Bristol, 8 Woodland Road, Bristol, UK. chris.benton@bristol.ac.uk

Journal and publication information

Publication Type: Journal Article

Journal: Vision research (Vision Res), published in England. (Language: eng)

Reference: 2002-Nov; vol 42 (issue 26) : pp 2869-77

Dates: Created 2002/11/26; Completed 2003/04/07; Revised 2004/11/17;

PMID: 12450511, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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