PHOTOGRAPHY AS MACHINE VISION: THE ROLE OF IMAGING TECHNOLOGIES IN ART HISTORY

Abstract

This paper analyzes the relationship between photography and machine vision by examining its prehistory, as embodied in the art-historical photo archive. It characterizes the introduction of machine vision to the world of libraries, archives, and museums as a renewed (rather than wholly new) effort to mechanize or systematize art and its history. Assumptions and attitudes about photography embedded in the photo archive are therefore easily and often inconspicuously reproduced in efforts to study art computationally. Noting this repetition, this paper reframes the debate about art-historical applications of computer vision to emphasize the issues this technology raises about what constitutes art-historical work. The question is not whether we should use computer vision or computers for art-historical inquiry, but rather, what kinds of activities we ask computers to perform. Understanding machine vision in the context of its prehistory is critical for explicating its relationship to photography, and the role of photography and digital images in the study of visual culture more generally.