DocumentCode
1079728
Title
Computer vision, image analysis, and master art: part 1
Author
Stork, David G.
Author_Institution
Ricoh Innovations, Menlo Park, CA
Volume
13
Issue
3
fYear
2006
Firstpage
16
Lastpage
20
Abstract
Can computer systems help us understand paintings and the methods of great masters? In this three-part series, David C. Stork describes how he uses techniques adapted from computer vision and image analysis to shed light on art and problems in art history. In part 1, the subject is perspective, and among the questions posed: did the artists of the Renaissance use optical projections as has been recently hypothesized?
Keywords
art; computer vision; history; image segmentation; object recognition; Renaissance; art history; automated inspection; computer vision; image analysis; image segmentation; object recognition; optical projections; robot navigation; scene analysis; surveillance; Application software; Art; Cameras; Computer vision; Eigenvalues and eigenfunctions; Image analysis; Optical devices; Painting; Subspace constraints; Transmission line matrix methods; computer systems; computer vision and image analysis; optical projections; renaissance art;
fLanguage
English
Journal_Title
MultiMedia, IEEE
Publisher
ieee
ISSN
1070-986X
Type
jour
DOI
10.1109/MMUL.2006.50
Filename
1667968
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