David Stork PhD discusses his research article which presents the triumphs and opportunities for the application of rigorous computer vision to problems in the history and interpretation of fine art paintings and drawings.
Read the full article here: https://goo.gle/44KgthC
David Stork PhD is an Adjunct Professor at Stanford University. He holds 64 issued patents and has published over 220 scholarly works including nine books/proceedings volumes. David is widely considered a founding pioneer in the application of rigorous computer vision, machine learning, and artificial intelligence applied to problems in the history and interpretation of fine art, specifically paintings and drawings, having published the earliest papers, co-founding the world's first conference, Computer Vision and Analysis of Art, teaching its first courses and publishing its first book, Pixels & Paintings. He graduated in Physics from MIT and the University of Maryland and studied Art History at Wellesley College.
Moderated by Megan Green Rogers.