Other useful references

• Chris Bishop, Neural Networks for Pattern Recognition. An excellent reference and overview of learning, including PDFs, mixture models, neural networks, RBFs, and a variety of other topics.
• E. T. Jaynes. Probability Theory: The Logic of Science. Foundations of Bayesian probability theory, plus some history, written by a pioneer. An older draft is online.
• David Forsyth and Jean Ponce, Computer Vision: A Modern Approach. Good overview of computer vision topics.
• Thomas Cover and Joy Thomas. Elements of Information Theory. The definitive information theory text
• Michael I. Jordan (ed), Learning in Graphical Models. Excellent collection of papers on advanced topics in learning. Many of the papers are available online.
• F.S. Hill, Jr. Computer Graphics Using OpenGL. Second Edition, Prentice Hall, 2001. General-purpose graphics reference.
• Jorge Nocedal and Stephen Wright. Numerical Optimization. Detailed coverage of the important numerical optimization theory and algorithms.

• Many recent graphics research papers, including most recent SIGGRAPH papers
• A Statistical Learning/Pattern Recognition Glossary, by Thomas Minka
• NIPS (proceedings are online)
• UC Berkeley Computer Vision Group
• Mitsubishi Electric graphics and vision research
• Toronto learning group.

Resources that might be useful for final projects

Don't feel bound by this data --- feel free to gather or synthesize your own!

• Image and video data
  • Columbia Weather and Illumination Database
  • a large collection of images (from Philip Greenspun)
  • Light probes (from Paul Debevec)
  • ICT facial illumination data sets
  • Photometric stereo images (scroll down to "input data")
  • VisTex texture database (there are many libraries more out there)
  • Small face images (from Sam Roweis)
  • Prokudin-Gorskii images. more from Frank Dellaert
  • GraphCutTextures data
• Motion capture
  • CMU mocap library (see also the "Resources" link)
  • MotView: Motion capture viewer and editor
  • Mosey: mocap playback
• 3D Data and light fields
  • The Stanford 3D Scanning Repository
  • Stanford Light Fields archive
  • Stanford Volume Data archive
  • Scanalyze range data viewer
  • Arm scans (from Brett Allen)
  • Surface light field data (from Daniel Wood)
  • OpenLF surface light field viewer
  • Parthenon scans
• BRDF databases
  • Columbia-Utrecht Reflectance and Texture Database (CURET)
  • BRDFs for every point on Earth, as seen by satellite. See also this description (however, it looks like this isn't available yet...)
  • NEFDS, captured by NIST; see also this paper
  • There are more databases out there (primarily satellite data)... search for "BRDF database" for example.