June 2006
Volume 6, Issue 6
Vision Sciences Society Annual Meeting Abstract  |   June 2006
Visual features and information theory
Author Affiliations
  • Giovanni Punzi
    Universita' di Pisa, Dipartimento di Fisica, Pisa, Italy, and Istituto Nazionale di Fisica Nucleare, Pisa, Italy
  • Maria Michela
    Del Viva Universita' di Firenze, Dipartimento di Psicologia, Firenze, Italy, and Istituto di Neuroscienze CNR, Pisa, Italy
Journal of Vision June 2006, Vol.6, 563. doi:https://doi.org/10.1167/6.6.563
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      Giovanni Punzi, Maria Michela; Visual features and information theory. Journal of Vision 2006;6(6):563. https://doi.org/10.1167/6.6.563.

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      © ARVO (1962-2015); The Authors (2016-present)

  • Supplements

We present an information-theory approach to the selection of salient characteristics in an image. We conjecture that the choice of the specific features perceived as salient can be explained on the basis of the amount of usable information they provide for coding the entire image, and the amount of computing resources required in the visual system. If this conjecture is true, the vision primitives may be the product of a natural selection process amongst all conceivable visual patterns, based on information content and computational cost. These ideas were tested in a practical implementation with samples of natural images.

Punzi, G. Del Viva, M. M. (2006). Visual features and information theory [Abstract]. Journal of Vision, 6(6):563, 563a, http://journalofvision.org/6/6/563/, doi:10.1167/6.6.563. [CrossRef]

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