Painting Classification by Artist and Period Using Neural Network Pattern Classification Techniques - PowerPoint PPT Presentation

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

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

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  1. Painting Classification by Artist and Period Using Neural Network Pattern Classification Techniques Stuart Rowan 12/12/2008

  2. 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

  3. 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.

  4. 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

  5. Results

  6. Conclusion • Forgery detection has been accomplished • There is a trade off between feature extraction computation time and pattern classification computation time.