Computer Vision, Image Analysis, and Master Art: Part 1

Authors:
David G. Stork
Affiliations:
Ricoh Innovations
Venue:
IEEE MultiMedia
Year:
2006

Citing 3
Cited 3

Accurate visual metrology from single and multiple uncalibrated images

Accurate visual metrology from single and multiple uncalibrated images
Robust Computer Vision: Theory and Applications

Robust Computer Vision: Theory and Applications
Did the great masters use optical projections while painting? Perspective Comparison of Paintings and Photographs of Renaissance Chandeliers

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04

Computer Vision, Image Analysis, and Master Art: Part 2

IEEE MultiMedia
Computer Vision, Image Analysis, and Master Art: Part 3

IEEE MultiMedia
Computer Vision and Art

IEEE MultiMedia

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Abstract

Can computer systems help us understand paintings and the methods of great masters? In thisthree-part series, David G. Stork describes how he uses techniques adapted from computer vision and imageanalysis to shed light on art and problems in art history. In part 1, the subject is perspective, and amongthe questions posed: Did the artists of the Renaissance use optical projections as has been recentlyhypothesized?