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, November 28, 2010
Another update
Since last time - did some more work on the tracking chapter although it isn't finished and no doubt full of errors. I've sorted out a bunch of mistakes in the first 8 chapters. I've started working on the geometry chapter - trying to do geometry without homogeneous coordinates (which are beautiful, but I think unnecessary). We'll see how it works out - don't see the point in writing a poor-man's version of Hartley and Zisserman anyway. I've also put in (invisible) hyperlinks so you can nip around the document faster...
Saturday, November 20, 2010
Tracking
There's been a lot of progress on the tracking and temporal models chapter. There's now a reasonable description of the Kalman filter, the extended Kalman filter and the unscented Kalman filter. I'm working on the section on particle filters tomorrow.
Friday, November 5, 2010
Update
Working on the first draft of the text for the chapter on tracking. There should be something worth reading in a couple of weeks. In the mean time, I've corrected a lot of mistakes in the first eight chapters, fixed some of the early figures so they are up to the standard of the later ones and added some questions to the end of the early chapters.
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