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Cited by 561

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Perceptual organization and the representation of natural form

Open access
Pentland, Alex P.·1986·Artificial Intelligence

Abstract

To support our reasoning abilities perception must recover environmental regularities—e.g., rigidity, “objectness,” axes of symmetry—for later use by cognition. To create a theory of how our perceptual apparatus can produce meaningful cognitive primitives from an array of image intensities we require a representation whose elements may be lawfully related to important physical regularities, and that correctly describes the perceptual organization people impose on the stimulus. Unfortunately, the representations that are currently available were originally developed for other purposes (e.g., physics, engineering) and have so far proven unsuitable for the problems of perception or common-sense reasoning. In answer to this problem we present a representation that has proven competent to accurately describe an extensive variety of natural forms (e.g., people, mountains, clouds, trees), as well as man-made forms, in a succinct and natural manner. The approach taken in this representational system is to describe scene structure at a scale that is similar to our naive perceptual notion of “a part,” by use of descriptions that reflect a possible formative history of the object, e.g., how the object might have been constructed from lumps of clay. For this representation to be useful it must be possible to recover such descriptions from image data; we show that the primitive elements of such descriptions may be recovered in an overconstrained and therefore reliable manner. We believe that this descriptive system makes an important contribution towards solving current problems in perceiving and reasoning about natural forms by allowing us to construct accurate descriptions that are extremely compact and that capture people's intuitive notions about the part structure of three-dimensional forms.

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Metadata

Authors
Pentland, A. P.
Venue
Artificial Intelligence
Publisher
Elsevier BV
Published
1986-05
Volume
28
Issue
3
Pages
293-331
ISSN
0004-3702 (ISSN-L)
OpenAlex
W2039005177
Cited by
561
References
30
FWCI
32.62
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Perceptual organization and the representation of natural form. https://app.cochat.ai/papers/10.1016/0004-3702(86)90052-4
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Pentland, A. P. (1986). Perceptual organization and the representation of natural form. Artificial Intelligence. https://doi.org/10.1016/0004-3702(86)90052-4

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