title: Depth discrimination from optic flow.
abstract: A simple scheme for deriving relative depth (time-to-collision, or TTC) from optic flow is developed in which the total flow is first sensed by unconnected motion (imperfect filter) sensors and then the rotational component is subtracted to yield the translational component. Only the latter component yields depth information. This scheme is contrasted with one where the TTC sensors respond only to the translational component at the initial registration of the flow (perfect filter sensors or looming detectors). The simple scheme predicts the results of three experiments on discrimination of TTC: discrimination thresholds are elevated if the objects withdraw from rather than approach the observer, thresholds are elevated if a rotational component is added to the flow, and the amount of threshold elevation resulting from the addition of a rotational component is reduced by prior adaptation to a pure rotational flow. These results confirm the simple model and disconfirm predictions based on the looming detector scheme.
authors.affiliation: Department of Psychology, York University, Ontario, Canada.
authors.forename: W A
authors.initials: WA
authors.lastname: Simpson
mesh_terms: D001288:Attention; D003867:Depth Perception; D004193:Discrimination Learning; D006801:Humans; D009039:Motion Perception; D009949:Orientation; D011601:Psychophysics; D012684:Sensory Thresholds