X-Boost  2.3.8
IchnClassifiers.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
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20 
21 #ifndef _ICHN_CLASSIFIER_H
22 #define _ICHN_CLASSIFIER_H
23 
28 
33 
34 #include "Feature/IntegralChannelFeature.h"
35 
38 /*
39 typedef BinaryClassifier<HaarFeature, DecisionStump<int> > HaarClassifier;
40 typedef BinaryClassifier<HaarFeature, NaiveDecisionStump> NaiveHaarClassifier;
41 typedef BinaryClassifier<HaarFeature, BayesianStump<int> > BayesianHaarClassifier;
42 typedef BinaryClassifier<HaarFeature, SimpleDecisionStump<int> > SimpleHaarClassifier;
43 */
46 
47 
48 #endif
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 Binary Classifier. Implements the class BinaryClassifier.
BinaryClassifier< IntegralChannelFeature, DecisionStump< int > > IchnClassifier
Definition: IchnClassifiers.h:44
A (really) weak classifier. Implements the policy DecisionStump for BinaryClassifier.
An hystogram based Bayesian classifier Implements the class BayesianStump for BinaryClassifier.