Binocular stereo vision processing based on pulse coupled neural networks

Y. Ogawa, D. Yamaoka, H. Yamada, K. Ishimura, M. Wada

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

A biological binocular stereo vision processing was modeled based on Pulse-Coupled Neural Network(PCNN). Then disparity detection can be accomplished in the spontaneous synchronization of neurons corresponding to the correct matching points. Consequently, it is clarified that binocular stereo vision is generated through proposed model. Furthermore, our model is appropriate model based on actual visual processing of biology.

Original languageEnglish
Pages369-374
Number of pages6
Publication statusPublished - 2004 Dec 1
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6

Conference

ConferenceSICE Annual Conference 2004
CountryJapan
CitySapporo
Period04/8/404/8/6

Keywords

  • Disparity detection
  • Pulse-Coupled Neural Networks
  • Visual processing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Ogawa, Y., Yamaoka, D., Yamada, H., Ishimura, K., & Wada, M. (2004). Binocular stereo vision processing based on pulse coupled neural networks. 369-374. Paper presented at SICE Annual Conference 2004, Sapporo, Japan.