The Computer Science Colloquium
Thursday, October 16, 4:15pm, room 9204/9205
David G. Stork
(Ricoh Innovations
and Stanford University)
"When computers look at art: Image analysis in humanistic studies of the visual arts"
New computer methods have been used to shed light on a number
of recent controversies in the study of art. For example, computer fractal
analysis has been used in authentication studies of paintings attributed to
Jackson Pollock recently discovered by Alex Matter. Computer wavelet analysis
has been used for attribution of the contributors in Perugino's Holy Family.
An international group of computer and image scientists is studying the
brushstrokes in paintings by van Gogh for detecting forgeries.
Sophisticated computer analysis of perspective, shading, color and form has shed
light on David Hockney's bold claim that as early as 1420, Renaissance artists
employed optical devices such as concave mirrors to project images onto their canvases.

How do these computer methods work? What can computers reveal about images that even the best-trained connoisseurs, art historians and artist cannot? How much more powerful and revealing will these methods become? In short, how is computer image analysis changing our understanding of art?
www.diatrope.com/stork/FAQs.html

How do these computer methods work? What can computers reveal about images that even the best-trained connoisseurs, art historians and artist cannot? How much more powerful and revealing will these methods become? In short, how is computer image analysis changing our understanding of art?
The Colloquium is supported by generous contributions from
the Bloomberg, Information Builders, Inc., and Netlogic,
Inc.
365 Fifth Ave, New York City 10016 | Room 4319 | Phone: 212.817.8190 | Fax: 212.817.1510 | compsci@gc.cuny.edu


