[Lisa_seminaires] Fwd: LISA and DIRO talk: David Stork

Aaron Courville courvila at iro.umontreal.ca
Mar 17 Nov 13:47:32 EST 2009


---------- Forwarded message ----------
From: Aaron Courville <courvila at iro.umontreal.ca>
Date: Tue, Nov 17, 2009 at 12:51 PM
Subject: LISA and DIRO talk: David Stork
To: Lisa Labo <lisa_labo at iro.umontreal.ca>


The "Colloques du DIRO" this week is our visitor, David Stork. He will
be visiting all day Thursday, please email me if you are interested in
meeting with him.

Cheers,
Aaron

Speaker: David G. Stork  (Ricoh Innovations and Stanford University_
Time/Location: 15h30 Thursday Nov 19th / AA6214

Title:
Computer vision in the study of art: New rigorous approaches to the
study of paintings and drawings

Abstract:
New rigorous computer algorithms have been used to shed light on a
number of recent controversies in the study of art. For example,
illumination estimation and shape-from-shading methods developed for
robot vision and digital photograph forensics can reveal the accuracy
and the working methods of masters such as Jan van Eyck and
Caravaggio. Computer box-counting methods for estimating fractal
dimension have been used in authentication studies of paintings
attributed to Jackson Pollock. Computer wavelet analysis has been used
for attribution of the contributors in Perugino's Holy Family and
works of Vincent van Gogh. Computer methods can dewarp the images
depicted in convex mirrors depicted in famous paintings such as Jan
van Eyck's Arnolfini portrait to reveal new views into artists'
studios and shed light on their working methods. New principled,
rigorous methods for estimating perspective transformations outperform
traditional and ad hoc methods and yield new insights into the working
methods of Renaissance masters. Sophisticated computer graphics
recreations of tableaus allow us to explore "what if" scenarios, and
reveal the lighting and working methods of masters such as Caravaggio.


Biographical sketches: (taken from http://www.diatrope.com/stork/FAQs.html)

(Short)
Dr. David G. Stork, Chief Scientist of Ricoh Innovations, is a
graduate in physics of the Massachusetts Institute of Technology and
the University of Maryland at College Park, studied art history at
Wellesley College and was Artist-in-Residence through the New York
State Council of the Arts. He is a Fellow of the International
Association for Pattern Recognition and has published six
books/proceedings volumes and has one forthcoming, including Seeing
the Light: Optics in nature, photography, color, vision and holography
(Wiley), Computer image analysis in the study of art (SPIE), Pattern
Classification (2nd ed., Wiley), and HAL's Legacy: 2001's computer as
dream and reality (MIT).

(Long)
Dr. David G. Stork is Chief Scientist of Ricoh Innovations and has
held academic appointments and taught in five departments at Stanford
University frequently over the last 20 years. The breadth of his
interests and contriburtions is revealed through the academic
departments and programs in which he has held faculty positions in
leading liberal arts colleges and research universities: Physics,
Mathematics, Electrical Engineering, Statistics, Computer Science,
Neuroscience, Psychology, and Art and Art History. He is a Fellow of
the International Association for Pattern Recognition, "For
contributions to pattern recognition education, machine learning,
speech recognition, and the application of computer vision to the
study of art" and Chair of its Technical Committee on Computer Vision
in Cultural Heritage Applications. He has published six
books/proceedings volumes and has another in production, including
Seeing the Light: Optics in nature, photography, color, vision and
holography (Wiley), the leading textbook on optics in the arts,
Computer image analysis in the study of art (SPIE), the first volume
in this discipline, Computer vision and image analysis in the study of
art (forthcoming), Pattern Classification (2nd ed., Wiley), the
world's all-time best-selling textbook in the field, translated into
three languages and used in courses in over 250 universites worldwide,
and HAL's Legacy: 2001's computer as dream and reality (MIT), the
source of his PBS television documentary 2001: HAL's Legacy. A
graduate in physics of the Massachusetts Institute of Technology and
the University of Maryland at College Park, he also studied art
history at Wellesley College and was Artist-in-Residence through the
New York State Council of the Arts. He has performed research and
taught courses such as "Light, color and visual phenomena," "The
physics of aesthetics and perception," "Optics, perspective and
Renaissance painting," and "Computer vision and image analysis in the
study of art" over the last quarter century variously at leading
liberal arts and research universities such as Wellesley College,
Swarthmore College, Clark University, Boston University and Stanford
University. He holds 38 US patents and has published numerous
technical papers on human and machine learning and perception of
patterns, physiological optics, image understanding, concurrency
theory, theoretical mechanics, optics, image processing. He has served
on the editorial boards of five international journals and has
delivered over 58 plenary, invited or distinguished lectures at
universities and conferences (atop over 230 traditional invited
colloquia and seminars). He was one of four scientists invited to
comment on Mr. Hockney's theory at the December 2001 "Art and Optics"
Symposium at the New York Institute for the Humanities and one of two
scientists invited to present a lecture in the symposium exploring the
possible use of optics by early Renaissance painters at the Optical
Society of America's Annual Meeting in Rochester, NY, October 2004.

--
Aaron C. Courville
Département d’Informatique et
de recherche opérationnelle
Université de Montréal
email:Aaron.Courville at gmail.com



-- 
Aaron C. Courville
Département d’Informatique et
de recherche opérationnelle
Université de Montréal
email:Aaron.Courville at gmail.com


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