OPenCV boosting differences

I am working with OpenCV for a project used for recognition and I had a general question regarding the API and it's terms. I've looked online and couldn't find anything specific to this but I was wondering what the differences were regarding the Discrete Adaboost, Real AdaBoost, LogitBoost, and Gentle AdaBoost. If anyone could direct me to a pros v cons or a gene开发者_如何学Pythonral description about these so that I may research which would be useful.

Update I have added a link to a powerpoint file that goes over the different variations of the Boosting techniques. Hope this hopes someone else out there. Adaboost powerpoint

Thanks in advance

There isn't really a simple "always use technique X" otherwise there wouldn't be a need for all the others . You really have to understand the details and experiment.

see The opencv discussion and A list of papers and technical summaries