Boosting multi-feature visual texture classifiers for the authentication of Jackson Pollock's drip paintings

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7869, Issue , 2011, Pages

  Al Ayyoub, Mahmoud ^a   Irfan, Mohammad T ^a   Stork, David G ^b  

^a Stony Brook University   (United States)

^b Ricoh Innovations Inc   (United States)

Author keywords

AdaBoost; drip painting analysis; fractal analysis; image processing; Jackson Pollock; machine learning; multi fractal analysis; pattern recognition; texture recognition

Indexed keywords

ADABOOST; DRIP PAINTING ANALYSIS; FRACTAL ANALYSIS; JACKSON; MACHINE LEARNING; MULTI FRACTALS; TEXTURE RECOGNITION;

ADAPTIVE BOOSTING; AUTHENTICATION; COMPUTER VISION; DECISION TREES; FRACTALS; IMAGE ANALYSIS; PLANT EXTRACTS; SUPPORT VECTOR MACHINES; TEXTURES;

FEATURE EXTRACTION;

EID: 79955776970     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.873142     Document Type: Conference Paper

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