X-Boost  2.3.8
HaarClassifiers.h
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1 /* XBoost: Ada-Boost and Friends on Haar/ICF/HOG Features, Library and ToolBox
2  *
3  * Copyright (c) 2008-2014 Paolo Medici <medici@ce.unipr.it>
4  *
5  * This library is free software; you can redistribute it and/or
6  * modify it under the terms of the GNU Lesser General Public
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8  * version 2 of the License, or (at your option) any later version.
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20 
21 #ifndef _HAAR_CLASSIFIER_H
22 #define _HAAR_CLASSIFIER_H
23 
28 
33 #include "Classifier/RealDecisionStump.h"
34 
35 #include "Feature/HaarFeature.h"
37 
44 
46 
47 // ??
48 template<class DataType >
49 struct RealDecisionStump;
50 
51 #endif
52 
53 
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.