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

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