title: Computational modeling of non-Fourier motion: further evidence for a single luminance-based mechanism.
abstract: 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.
authors.affiliation: Department of Psychology, University College London, UK. chris.benton@bristol.ac.uk
authors.forename: C P
authors.initials: CP
authors.lastname: Benton
authors.forename: A
authors.initials: A
authors.lastname: Johnston
authors.forename: P W
authors.initials: PW
authors.lastname: McOwan
authors.forename: J D
authors.initials: JD
authors.lastname: Victor
mesh_terms: D005583:Fourier Analysis; D006801:Humans; D008027:Light; D008959:Models, Neurological; D008960:Models, Psychological; D009039:Motion Perception / Q000502:physiology*; D017711:Nonlinear Dynamics; D010775:Photic Stimulation / Q000379:methods; D014796:Visual Perception / Q000502:physiology