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/
