A Parallel Model of the Kinetic Depth Effect Using Local Computations.
NEW YORK UNIV NY COURANT INST OF MATHEMATICAL SCIENCES
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This paper defines a new model for the Kinetic Depth Effect for multi-dot stimuli. The calculation is performed in a cooperative-competitive network, described as a relaxation labeling process RLP. The process involves a local iterative computation to best meet the constraints indicated by image cues to depth. Given a constraint that prefers inter-Dot distances in 3D to remain constant local rigidity, the model becomes a local parallel computation of the Ullman incremental rigidity scheme. Several simulations of the model are described, including some where additional cues are combined with the changing dot position cue. Keywords Human vision, Information extraction.