Elsevier

Vision Research

Volume 39, Issue 19, October 1999, Pages 3301-3320
Vision Research

Section 4: Computational vision
The role of terminators and occlusion cues in motion integration and segmentation: a neural network model

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Abstract

The perceptual interaction of terminators and occlusion cues with the functional processes of motion integration and segmentation is examined using a computational model. Integration is necessary to overcome noise and the inherent ambiguity in locally measured motion direction (the aperture problem). Segmentation is required to detect the presence of motion discontinuities and to prevent spurious integration of motion signals between objects with different trajectories. Terminators are used for motion disambiguation, while occlusion cues are used to suppress motion noise at points where objects intersect. The model illustrates how competitive and cooperative interactions among cells carrying out these functions can account for a number of perceptual effects, including the chopsticks illusion and the occluded diamond illusion. Possible links to the neurophysiology of the middle temporal visual area (MT) are suggested.

Keywords

Motion integration
Motion segmentation
MT
Terminators
Occlusion
Modeling

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