Constraint propagation neural networks for Huffman-Clowes scene labeling

Chen Kuo Tsao*, Wei Chung Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors propose a three-layered constraint satisfaction neural network to perform Huffman-Clowes scene labeling. Given a line drawing, the network establishes a consistent labeling for all the edges or detects that it is physically unrealizable. Experimental results show that this approach exploits the parallel architecture inherent in the network and is faster than the conventional algorithmic method.

Original languageEnglish (US)
Title of host publicationProc 2 Int IEEE Conf Tools Artif Intell
PublisherPubl by IEEE
Pages262-268
Number of pages7
ISBN (Print)0818620846
StatePublished - Dec 1 1990
EventProceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence - Herndon, VA, USA
Duration: Nov 6 1990Nov 9 1990

Other

OtherProceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence
CityHerndon, VA, USA
Period11/6/9011/9/90

ASJC Scopus subject areas

  • Engineering(all)

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