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.
Dr. David Stork sits at the leading edge of computer image analysis technology. He will discuss how computer technology is changing our understanding of art and how these analytical methods work. He will also show what computers reveal about images that even the best-trained connoisseurs, art historians and artist cannot.
Dr. David Stork is chief scientist at the Ricoh California Research Center and Consulting Professor at Stanford University. He studied physics at MIT (BS) and the University of Maryland College Park (PhD). He has also studied art history at Wellesley College and was Artist-in-Residence through the New York State Council of the Arts. He has published five books and created one PBS documentary. He holds 37 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 and image processing.