Slides and links from the February 11th 2014 THATCamp CAA session on applying computer vision techniques to art history research, facilitated by John Resig.

Learn More About Computer Vision

• Session Slides: Applying Computer Vision to Art History
  www.slideshare.net/jeresig/thatcamp-cv
• Paper: Using Computer Vision to Increase the Research Potential of Photo Archives
  ejohn.org/research/computer-vision-photo-archives/
• Syllabus: Brown Computer Vision Course
  cs.brown.edu/courses/csci1430/
  

Computer Vision Software and Libraries

• Optical Character Recognition: Tesseract (Open Source, Unsupervised)
  code.google.com/p/tesseract-ocr/
• Face Matching: OpenBiometrics (Open Source, Supervised)
  openbiometrics.org/
• Image Similarity: imgSeek (Open Source, Unsupervised)
  www.imgseek.net/
• Image Similarity: TinEye’s MatchEngine (Commercial, Unsupervised)
  services.tineye.com/MatchEngine
• Image Categorization: Ersatz (Commercial, Minimally Supervised)
  ersatz1.com/
• General Computer Vision: libCCV (Open Source, Supervised, Requires Coding)
  libccv.org/
• General Computer Vision: OpenCV (Open Source, Supervised, Requires Coding)
  opencv.org/