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  3D Object Recognition: A Model of View-Tuned Neurons

Bricolo, E., Poggio, T., & Logothetis, N. (1997). 3D Object Recognition: A Model of View-Tuned Neurons. In M. Mozer, M. Jordan, & T. Petsche (Eds.), Advances in Neural Information Processing Systems 9 (pp. 41-47). Cambridge, MA, USA: MIT Press.

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 Creators:
Bricolo, E, Author
Poggio, T, Author           
Logothetis, NK1, Author           
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: In 1990 Poggio and Edelman proposed a view-based model of object recognition that accounts for several psychophysical properties of certain recognition tasks. The model predicted the existence of view-tuned and view-invariant units, that were later found by Logothetis et al. (Logothetis et al., 1995) in IT cortex of monkeys trained with views of specific paperclip objects. The model, however, does not specify the inputs to the view-tuned units and their internal organization. In this paper we propose a model of these view-tuned units that is consistent with physiological data from single cell responses.

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 Dates: 1997-05
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
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Title: Tenth Annual Conference on Neural Information Processing Systems (NIPS 1996)
Place of Event: Denver, CO, USA
Start-/End Date: 1997-12-02 - 1997-12-05

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Title: Advances in Neural Information Processing Systems 9
Source Genre: Proceedings
 Creator(s):
Mozer, MC, Editor
Jordan, MI, Editor
Petsche, T, Editor
Affiliations:
-
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 41 - 47 Identifier: ISBN: 0-262-10065-7