Informaticus

I want to share my collection of links of how to build a classifier based on haar-like feature using OpenCV. If you know another (open source) implementation please leave me a message!

An example where a bowl is detected
http://lab.cntl.kyutech.ac.jp/~kobalab/nishida/opencv/OpenCV_ObjectDetection_HowTo.pdf

A wiki describing how to build a haar classifier for robotic vision
http://cgi.cse.unsw.edu.au/~cs4411/wiki/index.php?title=OpenCV_Guide#Haar_Classifier

Frequently asked questions about haar training (mainly basics about positive and negative input file format, how to read the output of the OpenCV haar training program ...)
http://www.computer-vision-software.com/blog/2009/11/faq-opencv-haartraining/

Short summary of the output during haar training
http://cv-kolaric.blogspot.com/2008/03/output-from-haartrainingexe.html

How to fix cvboost.cpp if you encounter a "bad flag" error during haar training
http://tech.groups.yahoo.com/group/OpenCV/message/69620

Another example of how to detect a bowl
http://www.computer-vision-software.com/blog/2009/06/opencv-haartraining-detect-objects-using-haar-like-features/

One of the best tutorial (imho) of how to build a cascade of boosted classifiers based on haar-like features. It's a step by step manual for face detection.
http://note.sonots.com/SciSoftware/haartraining.html