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.
© 2001 Optical Society of America
Original Manuscript: November 27, 2000
Revised Manuscript: March 5, 2001
Manuscript Accepted: March 5, 2001
Published: September 1, 2001
Christopher P. Benton, Alan Johnston, Peter W. McOwan, and Jonathan D. Victor, "Computational modeling of non-Fourier motion: further evidence for a single luminance-based mechanism," J. Opt. Soc. Am. A 18, 2204-2208 (2001)