Binocular stereo vision processing based on pulse coupled neural networks

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

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 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
Externally publishedYes
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6

Conference

ConferenceSICE Annual Conference 2004
Country/TerritoryJapan
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

Fingerprint

Dive into the research topics of 'Binocular stereo vision processing based on pulse coupled neural networks'. Together they form a unique fingerprint.

Cite this