• FACES: Faces, Art, and Computerized Evaluation Systems, Phase II

    Project Director(s):
    Conrad Rudolph
    Author(s):
    Jeanette Kohl, Amit Roy-Chowdhury, Conrad Rudolph
    Date:
    2015
    Group(s):
    Data Rescue
    Subject(s):
    Arts
    Item Type:
    White paper
    Institution:
    University of California, Riverside
    Tag(s):
    NEH White papers, Digital Humanities Start-Up Grants, NEH Digital Humanities
    Permanent URL:
    http://dx.doi.org/10.17613/M6WW7T
    Abstract:
    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 unidentified 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. Traditionally, identification of many of these portraits has been limited to often quite variable personal opinion. FACES (Faces, Art, and Computerized Evaluation Systems) proposes to establish the initial potential of face recognition technology to this highly subjective aspect of art history while at the same time retaining the human eye as the final arbiter.
    Notes:
    The refinement of additional techniques for using facial recognition software to help with the identification of human subjects in portraiture for art historical research.
    Metadata:
    Status:
    Published
    Last Updated:
    3 years ago
    License:
    Attribution-NonCommercial
    Share this:

    Downloads

    Item Name: pdf hd-51735-13.pdf
      Download View in browser
    Activity: Downloads: 168