MIT CSAIL 6.819/6.869: Advances in Computer Vision
Fall 2014
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Books

Computer vision:

• [Sz] Szeliski, Computer Vision: Algorithms and Applications, Springer, 2010 (online draft)
• [HZ] Hartley and Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2004
• [FP] Forsyth and Ponce, Computer Vision: A Modern Approach, Prentice Hall, 2002
• [Pa] Palmer, Vision Science, MIT Press, 1999

Learning:

• [Mi] Mitchel, Machine Learning, McGraw-Hill, 1997
• [DHS] Duda, Hart and Stork, Pattern Classification (2nd Edition), Wiley-Interscience, 2000

Graphical models:

• [KF] Koller and Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2009

Resources

Related courses:

• Introduction to Computer Vision, by Michael Black
• Learning-Based Methods in Vision, by Alyosha Efros
• Computer Vision, by Kristen Grauman
• Computer Vision, by Rob Fergus
• Introduction to Computer Vision, by Fei-Fei Li

Other resources:

• The Computer Vision Industry

MATLAB:

• MATLAB documentation
• File Exchange
• Code Vectorization Guide
• Writing Fast MATLAB code
• MATLAB array manipulation tips and tricks

MATLAB at MIT:

• Download MATLAB onto your computer (recommended)
• Access MATLAB on Athena
  at the prompt type: "add matlab", then "matlab"
  
• Web based MATLAB (not recommended, cannot display graphics)

Songs

• The Fundamental Matrix Song
• The RANSAC Song