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  Modeling Human Visual Object Recognition

Edelmann, S., & Bülthoff, H. (1992). Modeling Human Visual Object Recognition. In International Joint Conference on Neural Networks (IJCNN '92) (pp. 37-42). Piscataway, NJ, USA: IEEE.

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 Urheber:
Edelmann, S, Autor
Bülthoff, HH1, Autor           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Zusammenfassung: The topics discussed here are network models of object recognition; a computational theory of recognition; psychophysical support for a view-interpolation model: and an open issue, features of recognition. The authors survey a successful replication of central characteristics of performance in 3-D object recognition by a computational model based on interpolation among a number of stored views of each object. Network models of 3-D object recognition based on interpolation among specific stored views behave in several respects similarly to human observers in a number of recognition tasks. Even closer replication of human performance in recognition should be expected, once the issue of the features used to represent object views is resolved.

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 Datum: 1992-06
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISBN: 0-7803-0559-0
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=arnumber=227292
DOI: 10.1109/IJCNN.1992.227292
BibTex Citekey: 698
 Art des Abschluß: -

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Titel: International Joint Conference on Neural Networks (IJCNN '92)
Veranstaltungsort: Baltimore, MD, USA
Start-/Enddatum: -

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Titel: International Joint Conference on Neural Networks (IJCNN '92)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 37 - 42 Identifikator: -