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

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Book cover Computer Analysis of Images and Patterns (CAIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5702))

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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.

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Authors and Affiliations

  1. Ricoh Innovations, 2882 Sand Hill Road Suite 115, Menlo Park, CA, 94025, USA

    David G. Stork

  2. Department of Statistics, Stanford University, Stanford, CA, 94305, USA

    David G. Stork

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  1. David G. Stork
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  1. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, 48149, Münster, Germany

    Xiaoyi Jiang

  2. Institute of Mathematics and Computing Science, University of Groningen, Nijenborgh 9, 9747, Groningen, AG, The Netherlands

    Nicolai Petkov

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Stork, D.G. (2009). Computer Vision and Computer Graphics Analysis of Paintings and Drawings: An Introduction to the Literature. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_2

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