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  Object Recognition in Humans and Machines

Wallraven, C., & Bülthoff, H. (2007). Object Recognition in Humans and Machines. In Object Recognition, Attention, and Action (pp. 89-104). Berlin, Germany: Springer.

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 Creators:
Wallraven, C1, Author           
Bülthoff, HH1, Author           
Osaka, Editor
N., Editor
Rentschler, I., Editor
Biederman, I., Editor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: The question of how humans learn, represent and recognize objects has been one of the core questions in cognitive research. With the advent of the field of computer vision — most notably through the seminal work of David Marr — it seemed that the solution lay in a three-dimensional (3D) reconstruction of the environment (Marr 1982, see also one of the first computer vision systems built by Roberts et al. 1965). The success of this approach, however, was limited both in terms of explaining experimental results emerging from cognitive research as well as in enabling computer systems to recognize objects with a performance similar to humans.

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 Dates: 2007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 978-4-431-73018-7
URI: http://www.springerlink.com/content/978-4-431-73018-7/section=33441page=3locus=0
DOI: 10.1007/978-4-431-73019-4_7
BibTex Citekey: WallravenB2007
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Title: International Workshop on Object Recognition, Attention, and Action 2004
Place of Event: Kyoto, Japan
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Title: Object Recognition, Attention, and Action
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 89 - 104 Identifier: -