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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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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-EDE6-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-EDE7-8
Genre: Conference Paper

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

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 Abstract: 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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 Dates: 1992-06
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: 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
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Title: International Joint Conference on Neural Networks (IJCNN '92)
Place of Event: Baltimore, MD, USA
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Title: International Joint Conference on Neural Networks (IJCNN '92)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 37 - 42 Identifier: -