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.
1 |
if(mode == BASIC || CORE || ALL) |
haar_x2 haar_y2
haar_x3 haar_y3
haar_x2_y2
haar_x4 haar_y4
haar_point
tilted_haar_x2 tilted_haar_y2
tilted_haar_x3 tilted_haar_y3
tilted_haar_x4 tilted_haar_y4
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.
