21 #ifndef _HAAR_CLASSIFIER_H
22 #define _HAAR_CLASSIFIER_H
33 #include "Classifier/RealDecisionStump.h"
35 #include "Feature/HaarFeature.h"
48 template<
class DataType >
BinaryClassifier< HaarFeature, DecisionStump< int > > HaarClassifier
Definition: HaarClassifiers.h:39
A classifier composed by a Feature Extractor and an Evaluation Policy A "Second Level" classifier...
Definition: BinaryClassifier.h:38
A very simple decision stump with threshold 0 (could be a more luminance insesitive) Implements the c...
A very simple decision stump with no parity Implements the class SimpleDecisionStump for BinaryClassi...
A Weak Classifier based on a Feature Extractor policy.
Definition: RealDecisionStump.h:42
A Binary Classifier. Implements the class BinaryClassifier.
an "optimized" haar feature
A (really) weak classifier. Implements the policy DecisionStump for BinaryClassifier.
An hystogram based Bayesian classifier Implements the class BayesianStump for BinaryClassifier.