55:247 Image Analysis and Understanding

Readings and Slides

• Advanced segmentation
• Graph-based segmentation
• Boosting
• Random Forests - classification
• HOGs, Random Forests - image understanding
• Motion-using Adaboost
• AAM-slides
• http://www.isbe.man.ac.uk/~bim/
  • You may want to browse the entire page. Find these 2 links under subheading "Descriptions of Research"
  • 1) For the short overview, look at the link under: *** A 15 page overview paper about ASMs and AAMs (a useful introduction) (Postscript)
  • 2) For more details, see *** The most comprehensive description of my research is given in this report (Postscript, 120 pages, 2.8Mb, Updated Oct 2001).
  • You should be - after the lectures - way beyond the 15-page intro. ==> download and read the 120-page stuff. You will find that you are already familiar with parts of this document. And, I bet that you will find some newer parts quite exciting.
• Statistical Pattern Recognition - for introductory overview only
• Syntactic Pattern Recognition (from Schalkoff, R.J., Pattern Recognition: Statistical, Syntactic and Neural Approaches, John Wiley and Sons, 1992, ISBN 0-471-52974-5).
• Old DIP web pages
• Link to a p-value web page http://www.sportsci.org/resource/stats/pvalues.html