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Cited by 293

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Maximizing Rigidity: The Incremental Recovery of 3-D Structure from Rigid and Nonrigid Motion

Ullman, Shimon·1984·Perception

Abstract

The human visual system can extract 3-D shape information of unfamiliar moving objects from their projected transformations. Computational studies of this capacity have established that 3-D shape can be extracted correctly from a brief presentation, provided the moving objects are rigid. The human visual system requires a longer temporal extension, but it can cope with considerable deviations from rigidity. It is shown how the 3-D structure of rigid as well as nonrigid objects can be recovered by maintaining an internal model of the viewed object and modifying it at each instant by the minimal nonrigid change that is sufficient to account for the observed transformation. The results of applying this incremental rigidity scheme to rigid and nonrigid objects in motion are described and compared with human perception.

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Metadata

Authors
Ullman, S.
Venue
Perception
Published
1984-06
Volume
13
Issue
3
Pages
255-274
ISSN
  • 0301-0066 (ISSN-L)
  • 1468-4233
OpenAlex
W2090030512
Cited by
293
References
1
FWCI
7.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Maximizing Rigidity: The Incremental Recovery of 3-D Structure from Rigid and Nonrigid Motion. https://app.cochat.ai/papers/10.1068/p130255
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Ullman, S. (1984). Maximizing Rigidity: The Incremental Recovery of 3-D Structure from Rigid and Nonrigid Motion. Perception. https://doi.org/10.1068/p130255

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