Sep
16
Below are examples of the haar-like feature sets that are used in training. It displays what features are used based on the “mode” option used as well as the string representation that will be used in each of the AdaBoostCARTHaarClassifier.txt files created for each stage on the classifier.
if(mode == BASIC || CORE || ALL)
haar_x2 haar_y2![]()
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haar_x3 haar_y3![]()
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haar_x2_y2![]()
if(mode != BASIC)
haar_x4 haar_y4![]()
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haar_point![]()
if(mode == ALL)
tilted_haar_x2 tilted_haar_y2![]()
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tilted_haar_x3 tilted_haar_y3![]()
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tilted_haar_x4 tilted_haar_y4![]()
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tilted_haar_point![]()
One thing to notice is that tilted_haar_point feature is actually commented out in the cvhaartraining.cpp source code. So if that is a feature you would like to use it will need to be uncommented and recompiled for an new executable that will now include that feature.
Tags: haar training, opencv