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Computer Vision, Image Analysis, and Master Art: Part 3
January-March 2007 (vol. 14 no. 1)
pp. 14-18
David G. Stork, Ricoh Innovations
Marco F. Duarte, Rice University
This three-part series describes how a variety of methods adapted from computer vision, image analysis, and pattern recognition can be applied to visual arts and help answer questions in art history. In this final installment, David Stork discusses how shapes can be described. He outlines the challenges in quantifying shape and form analysis, and describes how techniques to compare shapes may be used to compare paintings to, for example, determine how a copy was made.
Index Terms:
Computer vision, pattern recognition, shape analysis, form analysis, and image analysis
Citation:
David G. Stork, Marco F. Duarte, "Computer Vision, Image Analysis, and Master Art: Part 3," IEEE Multimedia, vol. 14, no. 1, pp. 14-18, Jan.-March 2007, doi:10.1109/MMUL.2007.6
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