Computer Vision and Computer Graphics Analysis of Paintings and Drawings: An Introduction to the Literature

  • Authors:
  • David G. Stork

  • Affiliations:
  • Ricoh Innovations, Menlo Park, USA 94025 and Department of Statistics, Stanford University, Stanford, USA 94305

  • Venue:
  • CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
  • Year:
  • 2009

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Abstract

In the past few years, a number of scholars trained in computer vision, pattern recognition, image processing, computer graphics, and art history have developed rigorous computer methods for addressing an increasing number of problems in the history of art. In some cases, these computer methods are more accurate than even highly trained connoisseurs, art historians and artists. Computer graphics models of artists' studios and subjects allow scholars to explore ``what if'' scenarios and determine artists' studio praxis. Rigorous computer ray-tracing software sheds light on claims that some artists employed optical tools. Computer methods will not replace tradition art historical methods of connoisseurship but enhance and extend them. As such, for these computer methods to be useful to the art community, they must continue to be refined through application to a variety of significant art historical problems.