source: foam/trunk/vision/src/LDAClassifier.cpp @ 86

Revision 86, 1.5 KB checked in by dave, 12 years ago (diff)

lots of code added - pca implementation for eigenfaces and lda started

Line 
1// Copyright (C) 2009 foam
2//
3// This program is free software; you can redistribute it and/or modify
4// it under the terms of the GNU General Public License as published by
5// the Free Software Foundation; either version 2 of the License, or
6// (at your option) any later version.
7//
8// This program is distributed in the hope that it will be useful,
9// but WITHOUT ANY WARRANTY; without even the implied warranty of
10// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
11// GNU General Public License for more details.
12//
13// You should have received a copy of the GNU General Public License
14// along with this program; if not, write to the Free Software
15// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
16
17#include "LDAClassifier.h"
18
19LDAClassifier::LDAClassifier(unsigned int FeatureSize) :
20Classifier(FeatureSize)
21{
22}
23
24LDAClassifier::~LDAClassifier()
25{
26}
27
28int LDAClassifier::Classify(const Vector<float> &v)
29{
30        return 0;
31}
32
33void LDAClassifier::CalcGroupMeans()
34{       
35        for (FeatureMap::iterator i=m_Features.begin();
36                i!=m_Features.end(); ++i)
37        {
38                m_GroupMean[i->first]=Vector<float>(m_FeatureSize);
39                m_GroupMean[i->first].Zero();           
40                for (FeatureVec::iterator vi = i->second.begin(); vi!=i->second.end(); ++vi)
41                {
42                        m_GroupMean[i->first]+=*vi;
43                }               
44                m_GroupMean[i->first]/=i->second.size();
45        }
46}
47
48void LDAClassifier::CalcMeanCorrected()
49{
50}
51
52void LDAClassifier::CalcCovariance()
53{
54}
55
56void LDAClassifier::CalcPooledCovariance()
57{
58}
59
60void LDAClassifier::CalcPriorProbablity()
61{
62}
63
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