ART-1 neural network for reducing search space in 3-D object recognition using multiple views

Cheng Chung Liang*, Fong Yuan Liao, Wei Chung Lin

*Corresponding author for this work

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

2 Scopus citations

Abstract

An ART-1 neural network is applied to the problem of 3-D object recognition using a multiple-view modeling scheme. In this scheme, the 3-D object model database consists of sets of features extracted from 2-D projections rendered by a number of predetermined viewpoints on a view sphere enclosing the object. To recognize the object, a coarse-to-fine search strategy is adopted. ART-1 is used at the coarse search stage to reduce the search space in the model database. Experiments carried out to corroborate the proposed scheme are discussed.

Original languageEnglish (US)
Title of host publicationIJCNN. International Joint Conference on Neural Networks
PublisherPubl by IEEE
Pages931-936
Number of pages6
StatePublished - Dec 1 1990
Event1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA
Duration: Jun 17 1990Jun 21 1990

Other

Other1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3)
CitySan Diego, CA, USA
Period6/17/906/21/90

ASJC Scopus subject areas

  • Engineering(all)

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