TY - JOUR
T1 - Computational modeling of non-fourier motion
T2 - Further evidence for a single luminance-based mechanism
AU - Benton, Christopher P.
AU - Johnston, Alan
AU - McOwan, Peter W.
AU - Victor, Jonathan D.
PY - 2001/9
Y1 - 2001/9
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/0035462683
U2 - 10.1364/JOSAA.18.002204
DO - 10.1364/JOSAA.18.002204
M3 - Article
C2 - 11551055
AN - SCOPUS:0035462683
SN - 1084-7529
VL - 18
SP - 2204
EP - 2208
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
IS - 9
ER -