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Using Cellular Neural Network to “See” random-dot stereograms

  • Neural Networks
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Computer Analysis of Images and Patterns (CAIP 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 719))

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Abstract

The Cellular Neural Networks (CNN) providing for efficient analog array processing of images are used for revealing surface features hidden in different types of random-dot stereograms (RDS) coding 3D information in internal correlation. Although originally random-dot stereograms are for probing human stereopsis, they may also find application in engineering practice based on the method proposed for creating stereograms of real objects in optical environment using projector and camera. Also the concept of difference surface and difference stereogram is introduced and used for coding smooth surfaces.

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Authors and Affiliations

  1. Dual and Neural Computing Systems Laboratory Computer & Automation Institute, Hungarian Academy of Sciences, POB 63, H-1518 Bp, Hungary

    András G. Radványi

Authors
  1. András G. Radványi
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Editor information

Dmitry Chetverikov Walter G. Kropatsch

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© 1993 Springer-Verlag Berlin Heidelberg

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Radványi, A.G. (1993). Using Cellular Neural Network to “See” random-dot stereograms. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_117

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  • DOI: https://doi.org/10.1007/3-540-57233-3_117

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57233-6

  • Online ISBN: 978-3-540-47980-2

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