ACM Events - Computer Vision and Computer Graphics for the Analysis of Fine Art

May 13, 2010 - PRLog -- DESCRIPTION: 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.

SPEAKER BIOGRAPHY:  Dr. David G. Stork is Chief Scientist of Ricoh Innovations and has held academic appointments in four departments at Stanford University over the last two decades. The breadth of his interests and contributions 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.
He holds 40 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). His past and confirmed schedule includes over 200 scholarly presentations on computer analysis of art in 13 countries.
He was one of four scientists invited to comment on David 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

INTENDED FOR: Software Engineers, Physics, Mathematics, Electrical Engineering, Statistics, Computer Science, Neuroscience, Psychology, and Art and Art History

More Information: http://www.sfbayacm.org/?p=1703

Association for Computing Machinery

# # #

Founded in 1947, shortly after the unveiling of ENIAC (the first general purpose electronic computer), the Association for Computing Machinery (ACM), is the world’s oldest and largest educational and scientific computing society. ACM provides a vital forum for the exchange of information, ideas, and discoveries. ACM is an international scientific and educational organization dedicated to advancing the arts, sciences, and applications of information technology. With a world-wide membership, ACM is a leading resource for computing professionals and students working in the various fields of Information Technology, and for interpreting the impact of information technology on society