An Enduring Dialogue between Computational and Empirical Vision

Susana Martinez-Conde; Stephen L. Macknik; David J. Heeger

doi:10.1016/j.tins.2018.02.005

An Enduring Dialogue between Computational and Empirical Vision

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

Research output: Contribution to journal › Short survey › peer-review

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 language	English (US)
Pages (from-to)	163-165
Number of pages	3
Journal	Trends in Neurosciences
Volume	41
Issue number	4
DOIs	https://doi.org/10.1016/j.tins.2018.02.005
State	Published - Apr 2018

Keywords

computational vision
edge detection
multiscale analyses
simple cells
zero-crossings

ASJC Scopus subject areas

General Neuroscience

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10.1016/j.tins.2018.02.005

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@article{9c4b93dcbf864f42a1c236ec5f0b0506,

title = "An Enduring Dialogue between Computational and Empirical Vision",

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 {\textquoteleft}Theory of edge detection{\textquoteright}, 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.",

keywords = "computational vision, edge detection, multiscale analyses, simple cells, zero-crossings",

author = "Susana Martinez-Conde and Macknik, {Stephen L.} and Heeger, {David J.}",

note = "Funding Information: The authors thank Edward Adelson, Ruzena Bajcsy, Geoffrey Hinton, Yann LeCun, and Stephane Mallat for their valuable insight on the state of the art in vision science before Marr and Hildreth{\textquoteright}s paper and the impact of its publication on the field. We are much indebted to Ellen Hildreth and Lucia Vaina for their inside perspective and candid observations. Rosario Malpica and Daniel Cortes-Rastrollo provided administrative and technical support. This work was supported by an NSF Award (1734887) to S.M-C. and S.L.M. Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",

year = "2018",

month = apr,

doi = "10.1016/j.tins.2018.02.005",

language = "English (US)",

volume = "41",

pages = "163--165",

journal = "Trends in Neurosciences",

issn = "0166-2236",

publisher = "Elsevier Limited",

number = "4",

}

TY - JOUR

T1 - An Enduring Dialogue between Computational and Empirical Vision

AU - Martinez-Conde, Susana

AU - Macknik, Stephen L.

AU - Heeger, David J.

N1 - Funding Information: The authors thank Edward Adelson, Ruzena Bajcsy, Geoffrey Hinton, Yann LeCun, and Stephane Mallat for their valuable insight on the state of the art in vision science before Marr and Hildreth’s paper and the impact of its publication on the field. We are much indebted to Ellen Hildreth and Lucia Vaina for their inside perspective and candid observations. Rosario Malpica and Daniel Cortes-Rastrollo provided administrative and technical support. This work was supported by an NSF Award (1734887) to S.M-C. and S.L.M. Publisher Copyright: © 2018 Elsevier Ltd

PY - 2018/4

Y1 - 2018/4

N2 - 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.

AB - 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.

KW - computational vision

KW - edge detection

KW - multiscale analyses

KW - simple cells

KW - zero-crossings

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U2 - 10.1016/j.tins.2018.02.005

DO - 10.1016/j.tins.2018.02.005

M3 - Short survey

C2 - 29602332

AN - SCOPUS:85042636438

SN - 0166-2236

VL - 41

SP - 163

EP - 165

JO - Trends in Neurosciences

JF - Trends in Neurosciences

IS - 4

ER -

An Enduring Dialogue between Computational and Empirical Vision

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Keywords

ASJC Scopus subject areas

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