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