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Cited by 1,377

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cooperative Computation of Stereo Disparity: A cooperative algorithm is derived for extracting disparity information from stereo image pairs.

Marr, D., Poggio, T.·1976·Science

Abstract

The extraction of stereo-disparity information from two images depends upon establishing a correspondence between them. In this article we analyze the nature of the correspondence computation and derive a cooperative algorithm that implements it. We show that this algorithm successfully extracts information from random-dot stereograms, and its implications for the psychophysics and neurophysiology of the visual system are briefly discussed.

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Metadata

Authors
Marr, D., & Poggio, T.
Venue
Science
Published
1976-10-15
Volume
194
Issue
4262
Pages
283-287
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2570617923
Cited by
1,377
References
3
FWCI
8.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cooperative Computation of Stereo Disparity: A cooperative algorithm is derived for extracting disparity information from stereo image pairs. https://app.cochat.ai/papers/10.1126/science.968482
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Marr, D., & Poggio, T. (1976). Cooperative Computation of Stereo Disparity: A cooperative algorithm is derived for extracting disparity information from stereo image pairs. Science. https://doi.org/10.1126/science.968482

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.