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Painting Classification by Artist and Period Using Neural Network Pattern Classification Techniques Stuart Rowan 12/12/2008 Motivation Pattern classification techniques can be used to group paintings together It is desirable to group paintings by artist to detect forgeries

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painting classification by artist and period using neural network pattern classification techniques

Painting Classification by Artist and Period Using Neural Network Pattern Classification Techniques

Stuart Rowan

12/12/2008

motivation
Motivation
  • Pattern classification techniques can be used to group paintings together
  • It is desirable to group paintings by artist to detect forgeries
  • When art historians don’t have a clear historic record they group paintings by style to study an artist’s progression
slide3
Goal
  • Discover features that can be used to classify paintings by artist and style
  • Apply these features and various pattern classifiers to problems surrounding van Gogh paintings such as forgery detection and period grouping.
van gogh features
Van Gogh Features
  • Van Gogh has a distinctive brushstroke that creates texture in the painting
  • There are standard statistical measures of texture
  • Fourier Transforms can characterize the repetition of the brushstrokes
conclusion
Conclusion
  • Forgery detection has been accomplished
  • There is a trade off between feature extraction computation time and pattern classification computation time.