title: Perceptual separation of transparent motion components: the interaction of motion, luminance and shape cues.
abstract: Transparency is perceived when two or more objects or surfaces can be separated by the visual system whilst they are presented in the same region of the visual field at the same time. This segmentation of distinct entities on the basis of overlapping local visual cues poses an interesting challenge for the understanding of cortical information processing. In psychophysical experiments, we studied stimuli that contained randomly positioned disc elements, moving at two different speeds in the same direction, to analyse the interaction of cues during the perception of motion transparency. The current work extends findings from previous experiments with sine wave luminance gratings which only vary in one spatial dimension. The reported experiments manipulate low-level cues, like differences in speed or luminance, and what are likely to be higher level cues such as the relative size of the elements or the superposition rules that govern overlapping regions. The mechanism responsible for separation appears to be mediated by combination of the relevant and available cues. Where perceived transparency is stronger, the neural representations of components are inferred to be more distinguishable from each other across what appear to be multiple cue dimensions. The disproportionally large effect on transparency strength of the type of superposition of disc suggests that with this manipulation, there may be enhanced separation above what might be expected from the linear combination of low-level cues in a process we term labelling. A mechanism for transparency perception consistent with the current results would require a minimum of three stages; in addition to the local motion detection and global pooling and separation of motion signals, findings suggest a powerful additional role of higher level separation cues.
authors.affiliation: Computational Vision Lab, Department of Psychology, Royal Holloway University of London, Egham, TW20 0EX, UK. andrew.meso@univ-amu.fr
authors.forename: Andrew Isaac
authors.initials: AI
authors.lastname: Meso
authors.forename: Szonya
authors.initials: S
authors.lastname: Durant
authors.forename: Johannes M
authors.initials: JM
authors.lastname: Zanker
mesh_terms: D000328:Adult; D000465:Algorithms; D003463:Cues; D005260:Female; D005556:Form Perception / Q000502:physiology*; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D009039:Motion Perception / Q000502:physiology*; D016011:Normal Distribution; D010775:Photic Stimulation; D014794:Visual Fields / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult