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

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Presentation transcript:

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 When art historians don’t have a clear historic record they group paintings by style to study an artist’s progression

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 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

Results

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