A self-organizing multiple-view representation of 3D objects

Daphna Weinshall; Shimon Edelman; Heinrich H. Bülthoff

A self-organizing multiple-view representation of 3D objects

Daphna Weinshall
, Shimon Edelman
, Heinrich H. Bülthoff

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

We demonstrate the ability of a two-layer network of thresholded summation units to support representation of 3D objects in which several distinct 2D views are stored for each object. Using unsupervised Hebbian relaxation, the network learned to recognize ten objects from different viewpoints. The training process led to the emergence of compact representations of the specific input views. When tested on novel views of the same objects, the network exhibited a substantial generalization capability. In simulated psychophysical experiments, the network's behavior was qualitatively similar to that of human subjects.

Original language	English
Title of host publication	Advances in Neural Information Processing Systems 2, NIPS 1989
Editors	David S. Touretzky
Publisher	Neural information processing systems foundation
Pages	274-281
Number of pages	8
ISBN (Electronic)	1558601007, 9781558601000
State	Published - 1989
Externally published	Yes
Event	2nd Advances in Neural Information Processing Systems, NIPS 1989 - Denver, United States Duration: 27 Nov 1989 → 30 Nov 1989

Publication series

Name	Advances in Neural Information Processing Systems
Volume	2
ISSN (Print)	1049-5258

Conference

Conference	2nd Advances in Neural Information Processing Systems, NIPS 1989
Country/Territory	United States
City	Denver
Period	27/11/89 → 30/11/89

Bibliographical note

Publisher Copyright:
© 1989 Neural information processing systems foundation. All rights reserved.

Cite this

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title = "A self-organizing multiple-view representation of 3D objects",

abstract = "We demonstrate the ability of a two-layer network of thresholded summation units to support representation of 3D objects in which several distinct 2D views are stored for each object. Using unsupervised Hebbian relaxation, the network learned to recognize ten objects from different viewpoints. The training process led to the emergence of compact representations of the specific input views. When tested on novel views of the same objects, the network exhibited a substantial generalization capability. In simulated psychophysical experiments, the network's behavior was qualitatively similar to that of human subjects.",

author = "Daphna Weinshall and Shimon Edelman and B{\"u}lthoff, \{Heinrich H.\}",

note = "Publisher Copyright: {\textcopyright} 1989 Neural information processing systems foundation. All rights reserved.; 2nd Advances in Neural Information Processing Systems, NIPS 1989 ; Conference date: 27-11-1989 Through 30-11-1989",

year = "1989",

language = "אנגלית",

series = "Advances in Neural Information Processing Systems",

publisher = "Neural information processing systems foundation",

pages = "274--281",

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booktitle = "Advances in Neural Information Processing Systems 2, NIPS 1989",

}

Weinshall, D, Edelman, S & Bülthoff, HH 1989, A self-organizing multiple-view representation of 3D objects. in DS Touretzky (ed.), Advances in Neural Information Processing Systems 2, NIPS 1989. Advances in Neural Information Processing Systems, vol. 2, Neural information processing systems foundation, pp. 274-281, 2nd Advances in Neural Information Processing Systems, NIPS 1989, Denver, United States, 27/11/89.

A self-organizing multiple-view representation of 3D objects. / Weinshall, Daphna; Edelman, Shimon; Bülthoff, Heinrich H.
Advances in Neural Information Processing Systems 2, NIPS 1989. ed. / David S. Touretzky. Neural information processing systems foundation, 1989. p. 274-281 (Advances in Neural Information Processing Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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A self-organizing multiple-view representation of 3D objects

Abstract

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Bibliographical note

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