DocumentCode :
963786
Title :
Computer Vision, Image Analysis, and Master Art: Part 3
Author :
Stork, David G. ; Duarte, Marco F.
Author_Institution :
Ricoh Innovations, Menlo Park, CA
Volume :
14
Issue :
1
fYear :
2007
Firstpage :
14
Lastpage :
18
Abstract :
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
Keywords :
art; computer vision; art history; computer vision; form analysis; image analysis; master art; pattern recognition; shape analysis; visual arts; Art; Chaos; Computer vision; Fractals; History; Image analysis; Painting; Paints; Pattern recognition; Shape; Computer vision; and image analysis; form analysis; pattern recognition; shape analysis;
fLanguage :
English
Journal_Title :
MultiMedia, IEEE
Publisher :
ieee
ISSN :
1070-986X
Type :
jour
DOI :
10.1109/MMUL.2007.6
Filename :
4061302
Link To Document :
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