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The best thing that
we're put here for's to see. -The Star-Splitter, Robert
Frost Webpage of
Daniel J. Graham
Post-doctoral
Researcher
Department of
Mathematics
Dartmouth College
Hanover, NH 03755
Daniel.J.Graham *a*t* Dartmouth *d*0*t* edu
tel. +1 (603) 646-9020 fax +1 (603) 646-1312 NEW CV available HERE
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This website describes the work I do along with Prof. Dan Rockmore concerning vision
coding and statistics of natural scenes and art. I study processing in the
visual pathway in humans from low-level vision to V1 in cortex, as well as
higher-level processing related to affect. Current projects include work on
retinal ganglion cell coding; the basic statistics of painted art; statistics
related to stylometry, historical ordering and authentication of art; and the
similarity space of paintings.
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Publications
Graham,
D. J., Friedenberg, J. D., Rockmore, D. N. and Field, D. J. 2008. Mapping the similarity space of
paintings: Is there a role for image statistics? Submitted to Visual Cognition.
Graham,
D. J. 2008. The relationship between efficient coding of natural scenes
in the human visual system and statistical regularities in art.
Doctoral Dissertation, Cornell University.
Graham,
D. J. and Field, D. J. 2008. Global nonlinear luminance
compression in painted art. Proc. SPIE 6810, 189-200.
Graham,
D. J. and Field, D. J. 2008. Variations in intensity statistics
for representational and abstract art, and for art from the eastern and western
hemispheres. Perception 37, 1341-1352.
Graham,
D. J. and Field, D. J. 2008. Efficient coding of natural
images. In Encyclopedia of
Neuroscience
ed. Larry R. Squire. Academic Press, Oxford.
Graham,
D. J. and Field, D. J. 2007. Statistical regularities of art
images and natural scenes: Spectra, sparseness and nonlinearities. Spatial Vision 21,
149-164.
Graham,
D. J., Chandler, D. M. and Field, D. J. 2006. Can the theory of
"whitening" explain the center-surround properties of retinal
ganglion cell receptive fields? Vision
Research 46, 2901-2913.
Graham, D. J. and Field, D. J. 2006. Sparse
coding in the neocortex. In Evolution of
Nervous Systems ed. Jon H. Kaas and Leah A. Krubitzer. Elsevier.
Cuesta-Lopez,
S., Peyrard, M. and Graham, D. J.
2005. Model for DNA
hairpin denaturation. European
Physical Journal E-Soft Matter 16, 235-246.
Graham,
D. J. 2004. Efficient
retinal ganglion cell coding and the statistics of natural scenes. Master's
Thesis, Department of Physics, Cornell University.
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Teaching
I am teaching Math 126: Current Problems in Applied Mathematics in Fall Term 2008 at Dartmouth
College. The course will focus on mathematical methods used to study visual
system processing.
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Science Writing
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Abstracts
Graham, D. J., Friedenberg, J. N., Rockmore, D. N. and
Field, D. J. 2008. Mapping the
similarity space of paintings: Is there a role for image statistics? ECVP 2008 Utrecht, NL. [poster]
Graham, D. J. and Field, D. J. 2008. Global nonlinear
compression of natural luminances in painted art. SPIE
Electronic Imaging Conference on Computer Image Analysis in the Study of Art,
San Jose CA.
Cutting, J. E., Graham, D. J. and Field, D. J. 2008. From a neuroesthetics to a
neuroarthistory. Annual Conference of the College Art Association,
Dallas TX.
Graham, D. J., Page, K. B. and Field, D. J. 2006. Relating
nonlinearities to statistical regularities in paintings. Perception 35
supplement for ECVP.
Graham, D. J. Chandler, D. M. and Field, D. J. 2005. How alike are natural
scenes and paintings? Characterizing the spatial statistical properties of a
set of digitized, grey-scale images of painted art. Perception 34
supplement for ECVP.
Graham, D. J., Chandler, D. M. and Field, D. J. 2004. Decorrelation and response
equalization with center-surround receptive fields. Journal of Vision 4, 276a.
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Selected Talks
Statistical Regularities in
Paintings: Connections to Visual Coding and Perception, Friedrich-Schiller-University, Jena, Germany, Sept., 2008.
Mapping
the Similarity Space of Paintings: Is there a Role for Image Statistics?
Applied and Computational Mathematics Seminar, Dept. of Mathematics, Dartmouth
College, May
2008.
Statistical
Properties of Paintings and Their Implications for the Brain, Cognitive Brown
Bag Seminar, Dept. of
Psychology and Brain Sciences, Dartmouth College, May 2008.
Relationships
Between Human Visual Coding and Painted Art, Applied and Computational
Mathematics Seminar, Dept. of
Mathematics, Dartmouth College, Feb 2008.
The Illuminated World:
Art and the Visual System Art for Lunch, Herbert F. Johnson Museum of Art, Cornell University,
April 2007. VIDEO is here (440Mb).
Relating Nonlinearities to Statistical Regularities in Paintings. 29th
European Conference on Visual Perception, Aug 2006. Symposium on art and perception.
Abstract
Neural nets and
preferred contrast--A presentation about neural networks and contrast in
artworks. Joint IGERT Workshop on nonlinear dynamics in Oak Brook, IL Oct 2002.
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Support
2008-2009: William H. Neukom 1964
Institute for Computational Science (to Daniel N. Rockmore)
2008-2010:
National Science Foundation Small Grant for Exploratory Research DMS-0746667
(to DNR)
2007: Provost’s Diversity
Fellowship, Cornell University
2004-2007: National Institutes
of Health Kirschstein-NRSA Traineeship EY015393
2002: NSF Locnet Fellowship,
Ecole Normale Superieure, Lyon, Fr.
2001-2004: NSF IGERT Program in
Nonlinear Dynamics Fellowship, Cornell University
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Links
Science For
Everyone: A conference of
science writers, including Robert Krulwich and Janna Levin, that I organized at
Cornell in May 2004.
Updated 8 Oct 2008