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

Authors:
David G. Stork;Marco F. Duarte
Affiliations:
Ricoh Innovations;Rice University
Venue:
IEEE MultiMedia
Year:
2007

Citing 3
Cited 1

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

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

IEEE MultiMedia
Optimum design of chamfer distance transforms

IEEE Transactions on Image Processing

Computer Vision and Art

IEEE MultiMedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

This three-part series describes how a variety of methods adapted from computer vision, image analysis, and pattern recognition canbe applied to visual arts and help answer questions in art history. In this final installment, David Stork discusses how shapes can bedescribed. He outlines the challenges in quantifying shape and form analysis, and describes how techniques to compare shapes may be usedto compare paintings to, for example, determine how a copy was made.