Computational modeling of non-Fourier motion: further evidence for a single luminance-based mechanism

被引：19

作者：

Benton, CP

Johnston, A

McOwan, PW

Victor, JD

机构：

[1] Queen Mary Univ London, Dept Comp Sci, London E1 4NS, England

[2] Cornell Univ, Coll Med, Dept Neurol & Neurosci, New York, NY 10021 USA

[3] UCL, Dept Psychol, London WC1E 6BT, England

来源：

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2001年 / 18卷 / 09期

关键词：

D O I：

10.1364/JOSAA.18.002204

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

It is generally assumed that the perception of non-Fourier motion requires the operation of some nonlinearity before motion analysis. We apply a computational model of biological motion processing to a class of non-Fourier motion stimuli designed to investigate nonlinearity in human visual processing. The model correctly detects direction of motion in these non-Fourier stimuli without recourse to any preprocessing nonlinearity. This demonstrates that the non-Fourier motion in some non-Fourier stimuli is directly available to luminance-based motion mechanisms operating on measurements of local spatial and temporal gradients, (C) 2001 Optical Society of America.

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收藏

页码：2204 / 2208

页数：5

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