CNNUM stereo architecture and 3D template design techniques

T. Szirányi, László Czúni

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A CNN Universal Machine-based structure and analogic algorithm is proposed to extract 3D spatial information from stereo images. The CNN template values are obtained in two ways: from simplex optimization and from the energy function. The method is demonstrated on densely textured as well as grey scale stereograms.

Original languageEnglish
Pages (from-to)25-41
Number of pages17
JournalInternational Journal of Circuit Theory and Applications
Volume27
Issue number1
DOIs
Publication statusPublished - Jan 1999

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Spatial Information
Energy Function
Template
Optimization
Design
Architecture

Keywords

  • Cellular neural networks
  • Stereo depth detection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

CNNUM stereo architecture and 3D template design techniques. / Szirányi, T.; Czúni, László.

In: International Journal of Circuit Theory and Applications, Vol. 27, No. 1, 01.1999, p. 25-41.

Research output: Contribution to journalArticle

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