|
|
|
|
CONTRIBUTORS:
|
|
|
JOURNAL:
|
|
|
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.
|
|
|
|
STATISTICS
|
|
Click on # to view
|
|
Citations
|
|
0
|
|
References
|
|
11
|
|
Comments
|
|
0
|
|
Quality
|
|
0/0.00
|
|
Interest
|
|
0/0.00
|
|
View(er)s
|
|
1/55
|
|
|
|
|
|
|
| Prev |
Next |
|
