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 - 0378-5912
VL - 41
SP - 163
EP - 165
JO - Trends in Neurosciences
JF - Trends in Neurosciences
IS - 4
ER -