Conrad Rudolph, Professor, Department of the History of Art, University of California, Riverside
Amit Roy-Chowdhury, Professor, Department of Electrical Engineering, University of California, Riverside
Ramya Srinivasan, Graduate Student Researcher, University of California, Riverside
Jeanette Kohl, Associate Professor, Department of the History of Art, University of California, Riverside
FACES (Faces, Art, and Computerized Evaluation Systems) is a project whose primary goal is to establish the initial parameters of the application of face recognition technology to works of portrait art.
The project has been a collaboration of the humanities (art history) and the sciences (computer science).
For a fuller discussion than presented here of FACES from the art historical point of view (that is, how this technology generally works, what the parameters of its application to portrait art are at this time, what its advantages are, and so on), see “FACES: Faces, Art, and Computerized Evaluation Systems–A Feasibility Study of the Application of Face Recognition Systems to Works of Portrait Art,” currently under submission.
For an explanation of FACES that presents the computer science basis (a technical discussion of some of the issues and the algorithm), see Ramya Srinivasan, Conrad Rudolph, and Amit Roy-Chowdhury, “Computerized Face Recognition in Renaissance Portrait Art,” Signal Processing Magazine, Special Issue, forthcoming July 2015.
These two papers are meant to operate as a pair and cross reference each other.