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  Modeling Human Visual Object Recognition

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

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-EDE6-A Version Permalink: https://hdl.handle.net/21.11116/0000-0006-0FD3-C
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=227292 (Publisher version)
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 Creators:
Edelman, S, Author           
Bülthoff, HH1, Author           
Affiliations:
1External Organizations, ou_persistent22              

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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: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/IJCNN.1992.227292
BibTex Citekey: 698
 Degree: -

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Title: International Joint Conference on Neural Networks (IJCNN 1992)
Place of Event: Baltimore, MD, USA
Start-/End Date: 1992-06-07 - 1992-06-11

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Title: IJCNN International Joint Conference on Neural Networks 1992
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 37 - 42 Identifier: ISBN: 0-7803-0559-0