I'm trying to write a new computer vision textbook. I'm going to post updated versions here as I do so. The plan is to first teach probability and machine learning and then present each chapter as a different model with associated learning and inference algorithms.
Sunday, June 5, 2011
Some changes to the chapter on graphical models and the chapter on Markov random fields. Lots of minor errata corrected in the appendices on image preprocessing and optimization. I've only updated the full book as it is a bit of a bother splitting it into parts so often, so try to download that if you can.