Title
Computer Vision, Image Analysis, and Master Art: Part 3
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.
Year
DOI
Venue
2007
10.1109/MMUL.2007.6
IEEE Multimedia
Keywords
Field
DocType
form analysis,David Stork,final installment,quantifying shape,computer vision,answer question,three-part series,Master Art,art history,Computer Vision,pattern recognition canbe,image analysis,Image Analysis
Stork,Computer vision,Computer science,Painting,Human–computer interaction,Artificial intelligence,Shape analysis (digital geometry)
Journal
Volume
Issue
ISSN
14
1
1070-986X
Citations 
PageRank 
References 
5
0.85
3
Authors
2
Name
Order
Citations
PageRank
David G. Stork1627106.17
Marco F. Duarte22729176.74