Resources

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  • The Wikipedia entry on computer vision
  • The CVonline compendium of computer vision
  • Duke University Libraries. Click on E-Journals to find computer vision journals
  • The CMU Computer Vision web page is obsolete, but still has some useful data and information

  • D. A. Forsyth and J. Ponce, Computer Vision — A Modern Approach, second edition, Pearson 2012
  • R. Szeliski, Computer Vision — Algorithms and Applications, Springer 2011

  • C. M. Bishop, Pattern Recognition and Machine Learning, Springer 2006
  • T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning — Data Mining, Inference, and Prediction, Springer 2001
  • K. P. Murphy, Machine Learning — A Probabilistic Perspective, MIT Press 2012
  • S. J. Dickinson, A. Leonardis, B. Schiele, and M. J. Tarr, editors, Object Categorization — Computer and Human Vision Perspectives, Cambridge 2009

COMPSCI 527, Duke University, Site based on the fluid 960 grid system