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Symbolic representation and distributed matching strategies for schematics

Takatsuka, Masahiro, Caelli, Terry M., West, Geoff A. W. and Venkatesh, Svetha 1999, Symbolic representation and distributed matching strategies for schematics, in ICDAR 1999 : Proceedings of the 5th International Conference on Document Analysis and Recognition, IEEE, [Washington, D. C.], pp. 693-696.

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Title Symbolic representation and distributed matching strategies for schematics
Author(s) Takatsuka, Masahiro
Caelli, Terry M.
West, Geoff A. W.
Venkatesh, Svetha
Conference name Document Analysis and Recognition. Conference (5th : 1999 : Bangalore, India)
Conference location Bangalore, India
Conference dates 20-22 Sep. 1999
Title of proceedings ICDAR 1999 : Proceedings of the 5th International Conference on Document Analysis and Recognition
Editor(s) [Unknown]
Publication date 1999
Conference series Document Analysis and Recognition. Conference
Start page 693
End page 696
Total pages 4
Publisher IEEE
Place of publication [Washington, D. C.]
Keyword(s) distributed algorithms
engineering drawings
hopfield neural networks
neural networks
object recognition
Summary This paper describes object-centered symbolic representation and distributed matching strategies of 3D objects in a schematic form which occur in engineering drawings and maps. The object-centered representation has a hierarchical structure and is constructed from symbolic representations of schematics. With this representation, two independent schematics representing the same object can be matched. We also consider matching strategies using distributed algorithms. The object recognition is carried out with two matching methods: (1) matching between an object model and observed data at the lowest level of the hierarchy, and (2) constraints propagation. The first is carried out with symbolic Hopfield-type neural networks and the second is achieved via hierarchical winner-takes-all algorithms
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0769503187
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©1999, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044820

Document type: Conference Paper
Collections: School of Information Technology
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