Grouping Contours by Iterated Pairing Network

Amnon Shashua; Shimon Ullman

doi:10.5555/118850.118895

Grouping Contours by Iterated Pairing Network

Amnon Shashua
, Shimon Ullman

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

14 Scopus citations

Abstract

We describe in this paper a network that performs grouping of image contours. The input to the net are fragments of image contours, and the output is the partitioning of the fragments into groups, together with a saliency measure for each group. The grouping is based on a measure of overall length and curvature. The network decomposes the overall optimization problem into independent optimal pairing problems performed at each node. The resulting computation maps into a uniform locally connected network of simple computing elements.

Original language	English
Title of host publication	Advances in Neural Information Processing Systems 3, NIPS 1990
Editors	Richard Lippmann, John E. Moody, David S. Touretzky
Publisher	Neural information processing systems foundation
Pages	335-341
Number of pages	7
ISBN (Electronic)	1558601848, 9781558601840
DOIs	https://doi.org/10.5555/118850.118895
State	Published - 1990
Externally published	Yes
Event	3rd Advances in Neural Information Processing Systems, NIPS 1990 - Denver, United States Duration: 26 Nov 1990 → 29 Nov 1990

Publication series

Name	Advances in Neural Information Processing Systems
Volume	3
ISSN (Print)	1049-5258

Conference

Conference	3rd Advances in Neural Information Processing Systems, NIPS 1990
Country/Territory	United States
City	Denver
Period	26/11/90 → 29/11/90

Bibliographical note

Publisher Copyright:
© 1990 Neural information processing systems foundation. All rights reserved.

Access to Document

10.5555/118850.118895

Cite this

@inproceedings{dd192fb3bff64c41af1fb2a9dbbecf88,

title = "Grouping Contours by Iterated Pairing Network",

abstract = "We describe in this paper a network that performs grouping of image contours. The input to the net are fragments of image contours, and the output is the partitioning of the fragments into groups, together with a saliency measure for each group. The grouping is based on a measure of overall length and curvature. The network decomposes the overall optimization problem into independent optimal pairing problems performed at each node. The resulting computation maps into a uniform locally connected network of simple computing elements.",

author = "Amnon Shashua and Shimon Ullman",

note = "Publisher Copyright: {\textcopyright} 1990 Neural information processing systems foundation. All rights reserved.; 3rd Advances in Neural Information Processing Systems, NIPS 1990 ; Conference date: 26-11-1990 Through 29-11-1990",

year = "1990",

doi = "10.5555/118850.118895",

language = "אנגלית",

series = "Advances in Neural Information Processing Systems",

publisher = "Neural information processing systems foundation",

pages = "335--341",

editor = "Richard Lippmann and Moody, \{John E.\} and Touretzky, \{David S.\}",

booktitle = "Advances in Neural Information Processing Systems 3, NIPS 1990",

}

Shashua, A & Ullman, S 1990, Grouping Contours by Iterated Pairing Network. in R Lippmann, JE Moody & DS Touretzky (eds), Advances in Neural Information Processing Systems 3, NIPS 1990. Advances in Neural Information Processing Systems, vol. 3, Neural information processing systems foundation, pp. 335-341, 3rd Advances in Neural Information Processing Systems, NIPS 1990, Denver, United States, 26/11/90. https://doi.org/10.5555/118850.118895

Grouping Contours by Iterated Pairing Network. / Shashua, Amnon; Ullman, Shimon.
Advances in Neural Information Processing Systems 3, NIPS 1990. ed. / Richard Lippmann; John E. Moody; David S. Touretzky. Neural information processing systems foundation, 1990. p. 335-341 (Advances in Neural Information Processing Systems; Vol. 3).

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

TY - GEN

T1 - Grouping Contours by Iterated Pairing Network

AU - Shashua, Amnon

AU - Ullman, Shimon

PY - 1990

Y1 - 1990

N2 - We describe in this paper a network that performs grouping of image contours. The input to the net are fragments of image contours, and the output is the partitioning of the fragments into groups, together with a saliency measure for each group. The grouping is based on a measure of overall length and curvature. The network decomposes the overall optimization problem into independent optimal pairing problems performed at each node. The resulting computation maps into a uniform locally connected network of simple computing elements.

AB - We describe in this paper a network that performs grouping of image contours. The input to the net are fragments of image contours, and the output is the partitioning of the fragments into groups, together with a saliency measure for each group. The grouping is based on a measure of overall length and curvature. The network decomposes the overall optimization problem into independent optimal pairing problems performed at each node. The resulting computation maps into a uniform locally connected network of simple computing elements.

UR - https://www.scopus.com/pages/publications/105020951986

U2 - 10.5555/118850.118895

DO - 10.5555/118850.118895

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:105020951986

T3 - Advances in Neural Information Processing Systems

SP - 335

EP - 341

BT - Advances in Neural Information Processing Systems 3, NIPS 1990

A2 - Lippmann, Richard

A2 - Moody, John E.

A2 - Touretzky, David S.

PB - Neural information processing systems foundation

T2 - 3rd Advances in Neural Information Processing Systems, NIPS 1990

Y2 - 26 November 1990 through 29 November 1990

ER -

Grouping Contours by Iterated Pairing Network

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this