-
Notifications
You must be signed in to change notification settings - Fork 2
/
pcamodel.cpp
82 lines (69 loc) · 2.13 KB
/
pcamodel.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
#include "pcamodel.h"
PCAModel::PCAModel()
{
m_nPCADim = 0;
m_nRawDim = 0;
m_pMeanVec = NULL;
m_pEigenVec = NULL;
m_pWeightMat = NULL;
m_pSVal = NULL;
m_pInput = NULL;
}
PCAModel::PCAModel(char* strModelPath)
{
FILE* fp = fopen(strModelPath,"rb");
fread(&m_nPCADim, sizeof(int), 1, fp);
fread(&m_nRawDim, sizeof(int), 1, fp);
m_pMeanVec = new double[m_nRawDim];
m_pSVal = new double[m_nPCADim];
m_pEigenVec = new double[m_nPCADim*m_nRawDim];
m_pWeightMat = new double[MIN_FACE_HEIGHT*MIN_FACE_WIDTH];
m_pInput = new double[MIN_FACE_HEIGHT*MIN_FACE_WIDTH];
fread(m_pMeanVec, sizeof(double), m_nRawDim, fp);
fread(m_pEigenVec, sizeof(double), m_nPCADim*m_nRawDim, fp);
fread(m_pWeightMat, sizeof(double), MIN_FACE_HEIGHT*MIN_FACE_WIDTH, fp);
fread(m_pSVal, sizeof(double), m_nPCADim, fp);
fclose(fp);
}
void PCAModel::LoadModel(char* strmodelpath)
{
FILE* fp = fopen(strmodelpath,"rb");
fread(&m_nPCADim, sizeof(int), 1, fp);
fread(&m_nRawDim, sizeof(int), 1, fp);
m_pMeanVec = new double[m_nRawDim];
m_pSVal = new double[m_nPCADim];
m_pEigenVec = new double[m_nPCADim*m_nRawDim];
m_pWeightMat = new double[MIN_FACE_HEIGHT*MIN_FACE_WIDTH];
m_pInput = new double[MIN_FACE_HEIGHT*MIN_FACE_WIDTH];
fread(m_pMeanVec, sizeof(double), m_nRawDim, fp);
fread(m_pEigenVec, sizeof(double), m_nPCADim*m_nRawDim, fp);
fread(m_pWeightMat, sizeof(double), MIN_FACE_HEIGHT*MIN_FACE_WIDTH, fp);
fread(m_pSVal, sizeof(double), m_nPCADim, fp);
fclose(fp);
}
void PCAModel::ComputePCACoeff(byte* pInput, double* pOutput)
{
int i,j;
for(i=0; i<m_nRawDim; i++)
{
m_pInput[i] = pInput[i] * m_pWeightMat[i];
m_pInput[i] -= m_pMeanVec[i];
}
for(i=0; i<m_nPCADim; i++)
{
pOutput[i] = 0;
for(j=0; j<m_nRawDim; j++)
{
pOutput[i] += m_pInput[j] * m_pEigenVec[i*m_nRawDim+j];
}
pOutput[i] = pOutput[i] / m_pSVal[i];
}
}
PCAModel::~PCAModel()
{
delete [] m_pMeanVec;
delete [] m_pEigenVec;
delete [] m_pWeightMat;
delete [] m_pSVal;
delete [] m_pInput;
}