Paper
22 January 1987 Cortical Dynamics Of Boundary Completion, Segmentation, And Depth Perception
Stephen Grossberg
Author Affiliations +
Proceedings Volume 0728, Optics, Illumination, and Image Sensing for Machine Vision; (1987) https://doi.org/10.1117/12.937820
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
Abstract
When we gaze upon a scene, our brains combine many types of locally ambiguous visual information to rapidly generate a globally unambiguous representation of form-and-color-in-depth. In contrast, many models of visual perception are specialized models which deal with only one type of information-for example, boundary, disparity, curvature, shading, color, or spatial frequency information. For such models, other types of signals are often contaminants, or noise elements, rather than cooperative sources of ambiguity-reducing information. This state of affairs raises the basic question: What new principles and mechanisms are needed to understand how multiple sources of visual information preattentively cooperate to generate a percept of 3-D form?
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Grossberg "Cortical Dynamics Of Boundary Completion, Segmentation, And Depth Perception", Proc. SPIE 0728, Optics, Illumination, and Image Sensing for Machine Vision, (22 January 1987); https://doi.org/10.1117/12.937820
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KEYWORDS
Image segmentation

Visualization

Fluorescence correlation spectroscopy

Signal processing

Information visualization

Control systems

Machine vision

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