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Computational Gestalts and Prägnanz

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CONTRIBUTORS:
  Author Luccio, Riccardo (University of Trieste)
JOURNAL:
  Gestalt Theory - An International Multidisciplinary Journal, 30(2), 135 - 143.
YEAR: 2008
PUB TYPE: Journal Article
SUBJECT(S): Perception, Gestalt, Computer vision, Probability, Gestalt psychology, Gestalt theory
DISCIPLINE: Psychology
HTTP: http://gestalttheory.net/gth/
LANGUAGE: English
PUB ID: 103-444-812 (Last edited on 2008/08/20 10:22:39 GMT-6)
SPONSOR(S):
 
ABSTRACT:
In the last few decades many attempts were made to formulate Gestalt principles in a more precise way. One apparently very promising attempt, named “Computational Gestalts” was undertaken by a group of French mathematicians interested in computer vision (Desolneux, Moisan, Morel, Cao, etc..) The core is the so-called Helmholtz principle, that states that it is possible to determine an expectancy value e, for whom all the stimuli whose expectancy is less of e tend to group together (third principle). In this paper I try to show that this approach can help us in solving several open problem in the tradition of Gestalttheorie, as the definition of what can be meant for Kanizsa’s primary process, the ambiguities of the concept of Prägnanz, the definition of Bianchi & Savardi’s “oppositeness” as a candidate founding principle of Gestalt formation.
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