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Perceptual organization in computer vision - A review and a proposal for a classificatory structureThe evolution of perceptual organization in biological vision, and its necessity in advanced computer vision systems, arises from the characteristic that perception, the extraction of meaning from sensory input, is an intelligent process. This is particularly so for high order organisms and, analogically, for more sophisticated computational models. The role of perceptual organization in computer vision systems is explored. This is done from four vantage points. First, a brief history of perceptual organization research in both humans and computer vision is offered. Next, a classificatory structure in which to cast perceptual organization research to clarify both the nomenclature and the relationships among the many contributions is proposed. Thirdly, the perceptual organization work in computer vision in the context of this classificatory structure is reviewed. Finally, the array of computational techniques applied to perceptual organization problems in computer vision is surveyed.
Document ID
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Sarkar, Sudeep
(NASA Headquarters Washington, DC United States)
Boyer, Kim L.
(Ohio State Univ. Columbus, United States)
Date Acquired
August 16, 2013
Publication Date
April 1, 1993
Publication Information
Publication: IEEE Transactions on Systems, Man, and Cybernetics
Volume: 23
Issue: 2
ISSN: 0018-9472
Subject Category
Accession Number
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