An Enduring Dialogue between Computational and Empirical Vision

Susana Martinez-Conde, Stephen L. Macknik, David Heeger

Research output: Contribution to journalShort survey

Abstract

In the late 1970s, key discoveries in neurophysiology, psychophysics, computer vision, and image processing had reached a tipping point that would shape visual science for decades to come. David Marr and Ellen Hildreth's ‘Theory of edge detection’, published in 1980, set out to integrate the newly available wealth of data from behavioral, physiological, and computational approaches in a unifying theory. Although their work had wide and enduring ramifications, their most important contribution may have been to consolidate the foundations of the ongoing dialogue between theoretical and empirical vision science.

Original languageEnglish (US)
Pages (from-to)163-165
Number of pages3
JournalTrends in Neurosciences
Volume41
Issue number4
DOIs
StatePublished - Apr 1 2018

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Psychophysics
Neurophysiology

Keywords

  • computational vision
  • edge detection
  • multiscale analyses
  • simple cells
  • zero-crossings

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

An Enduring Dialogue between Computational and Empirical Vision. / Martinez-Conde, Susana; Macknik, Stephen L.; Heeger, David.

In: Trends in Neurosciences, Vol. 41, No. 4, 01.04.2018, p. 163-165.

Research output: Contribution to journalShort survey

Martinez-Conde, Susana ; Macknik, Stephen L. ; Heeger, David. / An Enduring Dialogue between Computational and Empirical Vision. In: Trends in Neurosciences. 2018 ; Vol. 41, No. 4. pp. 163-165.
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