Dual Processing of Visual Motion Reduces Smearing, Delay and Noise, But Yields the ‘Wavy Edge’ and ‘Window-Shift’ Illusions

  • A. J. Noest
Conference paper

Abstract

Early stages of visual motion processing are modelled by two networks, each consisting of velocity-tuned cells. One network extracts the (possibly multi-valued) velocity-field, while the other extracts the patterns which move. The ‘channel-coded’ output from the velocity-net selects those co-local units in the pattern-net which are tuned to the local velocity, so preventing motion-smear and allowing compensation of target positions for unavoidable processing delays. Under special conditions, however, the model creates some artefacts which correspond well with known visual illusions.

Keywords

Manifold Assimilation Convolution 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Burr, D.C., Ross, J. & Morrone, M.C. Proc.Roy.Soc.LondonB227 (1986), 249.Google Scholar
  2. 2.
    DeValois, R.L. & DeValois, K.K. Vision Res. 31 (1991) 1619.CrossRefGoogle Scholar
  3. 3.
    Guckenheimer, J. & Holmes, P. ‘Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields’. Springer, New York 1983.MATHGoogle Scholar
  4. 4.
    Koenderink, J.J. & van Doorn, A.J. Biol.Cybern. 55 (1987), 367.CrossRefMATHGoogle Scholar
  5. 5.
    Marcus, J.T. & Toet, A. Neurosci.Lett. 124 (1991), 239.CrossRefGoogle Scholar
  6. 6.
    Nawrot, M. & Sekuler, R. Vision.Res. 30 (1990) 1439.CrossRefGoogle Scholar
  7. 7.
    Noest, A.J. in ‘Shape in Picture’ (Y.-Y. O et al., eds.), Springer, Berlin 1994.Google Scholar

Copyright information

© Springer-Verlag London Limited 1995

Authors and Affiliations

  • A. J. Noest
    • 1
  1. 1.DuivendrechtThe Netherlands

Personalised recommendations