Is Human Vision Any Good?

  • Jan J. Koenderink
Part of the Studies in Computational Intelligence book series (SCI, volume 285)


Human vision is often referred to as an “existence proof” for challenging targets of machine vision. But in some areas machine vision evidently “beats” human vision, so the questions arise: Is human vision any good, will it be supplanted by machine vision for most tasks soon? I analyze human vision with the aim to provide an answer to such questions. Does machine vision still have anything to learn from human vision? I identify a number of basic principles of biological vision that are likely to be of interest to the machine vision community.


Principal Curvature Machine Vision Human Visual System Human Vision Shape Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
  2. 2.
    Koenderink, J.J.: The brain a geometry engine. Psychological Res. 52, 22–127 (1990)Google Scholar
  3. 3.
  4. 4.
    Lotze, R.H.: Medicinische Psycholohie oder Physiologie der Seele. Weidman’sche Buchhandlung, Leipzig (1852)Google Scholar
  5. 5.
    Riemann, B.: Über die Hypothesen, welche der Geometrie zu Grunde liegen. Habilitationsschrift, Abhandlungen der Kniglichen Gesellschaft der Wissenschaften zu Gttingen 13 (1854)Google Scholar
  6. 6.
    Sachs, H.: Ebene isotrope Geometrie. Vieweg-Verlag, Wiesbaden (1987)zbMATHGoogle Scholar
  7. 7.
    Yaglom, I.M.: A simple non–Euclidean geometry and its physical basis: an elementary account of Galilean geometry and the Galilean principle of relativity (Translated from the Russian by Abe Shenitzer). Springer, New York (1997)Google Scholar
  8. 8.
    Koenderink, J.J., Pont, S.C.: Irradiation direction from texture. J. Opt. Soc. Am. A 20, 1875–1882 (2003)CrossRefGoogle Scholar
  9. 9.
    Koenderink, J.J.: Photometric invariants related to solid shape. Optica. Acta. 27, 981–996 (1980)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jan J. Koenderink
    • 1
  1. 1.EEMCSDelft University of TechnologyThe Netherlands

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