Program

Digital Humanities: Digital Humanities Start-Up Grants

Period of Performance

6/1/2012 - 5/31/2014

Funding Totals

$25,000.00 (approved)
$24,680.31 (awarded)


FACES: Faces, Art, and Computerized Evaluation Systems

FAIN: HD-51625-12

Regents of the University of California, Riverside (Riverside, CA 92521-0001)
Conrad Rudolph (Project Director: October 2011 to May 2016)

A Level 1 project that will test the use of facial recognition software in the context of art history, with a long-term goal of assisting in the identification of human subjects in portraiture.

In recent years, a great deal of attention has been paid in art history to the face both theoretically and historically, especially the portrait and above all the portrait bust. At the same time, an enormous amount of research has been conducted on face recognition technology (the use of computerized evaluation systems for the automatic identification of a human face from a digital image). But, to the best of our knowledge, no one has yet attempted to join these two developments in an interdisciplinary way, applying cutting-edge face recognition technology to works of art, specifically portraiture. Before the advent of photography, portraits were, almost by definition, depictions of people who were important in their own worlds. But as a walk through almost any major museum will show, a large number of these portraits from before the nineteenth century--many of them great works of art--have lost the identities of their subjects through the fortunes of time.





Associated Products

FACES: Faces, Art, and Computerized Evaluation Systems--A Feasibility Study of the Application of Face Recognition Technology to Works of Portrait Art (Article)
Title: FACES: Faces, Art, and Computerized Evaluation Systems--A Feasibility Study of the Application of Face Recognition Technology to Works of Portrait Art
Author: Amit Roy-Chowdhury, Ramya Srinivasan, and Jeanette Kohl
Author: Conrad Rudolph
Abstract: FACES (Faces, Art, and Computerized Evaluation Systems) is a pioneering attempt that has successfully established proof of concept for the application of face recognition technology to works of portrait art.
Year: 2017
Format: Journal
Periodical Title: Artibus et Historiae 75 (2017) 265-291
Publisher: Artibus et Historiae