A VLSI-Compatible Computer Vision Algorithm for Stereoscopic Depth Analysis in Real-Time

  • Authors:
  • Bernd Porr;Bernd Nürenberg;Florentin Wörgötter

  • Affiliations:
  • Department of Psychology, University of Stirling, Centre for Cognitive and Computational Neuroscience, Stirling, FK9 4LA, Scotland, UK. bp1@cn.stir.ac.uk;I-to-I GmbH, Department of 3D-Stereo, D-21079 Hamburg, Germany. sales@i-to-i.de;Department of Psychology, University of Stirling, Centre for Cognitive and Computational Neuroscience, Stirling, FK9 4LA, Scotland, UK. worgott@cn.stir.ac.uk

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2002

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Abstract

The analysis of the depth coordinates of objects in a visual scene is of vital importance for animals as well as in technological applications like autonomous robot navigation or product quality control. In this article we describe a phase-based algorithm for stereoscopic depth analysis which utilizes IIR-filters.1 This algorithm is especially well suited to be built into dedicated VLSI-hardware and can therefore, also be used as a fast real-time front end in any more general image processing system. Example movies which demonstrate the real-time capabilities of this algorithm can be found at: http://www.cn.stir.ac.uk/Real-Time-Stereo.