[89] | 1 | #include <stdio.h> |
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| 2 | #include <string.h> |
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| 3 | #include "cv.h" |
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| 4 | #include "cvaux.h" |
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| 5 | #include "highgui.h" |
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| 6 | |
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| 7 | IplImage ** faceImgArr = 0; // array of face images |
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| 8 | IplImage * pAvgTrainImg = 0; |
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| 9 | int nTrainFaces = 0; |
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| 10 | char win_name[20]; |
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| 11 | |
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| 12 | int loadFaceImgArray(char * filename) |
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| 13 | { |
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| 14 | FILE * imgListFile = 0; |
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| 15 | char imgFilename[512]; |
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| 16 | int iFace, nFaces=0; |
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| 17 | |
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| 18 | |
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| 19 | // open the input file |
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| 20 | if( !(imgListFile = fopen(filename, "r")) ) |
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| 21 | { |
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| 22 | fprintf(stderr, "Can\'t open file %s\n", filename); |
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| 23 | return 0; |
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| 24 | } |
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| 25 | |
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| 26 | // count the number of faces |
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| 27 | while( fgets(imgFilename, 512, imgListFile) ) ++nFaces; |
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| 28 | rewind(imgListFile); |
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| 29 | |
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| 30 | // allocate the face-image array and person number matrix |
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| 31 | faceImgArr = (IplImage **)cvAlloc( nFaces*sizeof(IplImage *) ); |
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| 32 | |
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| 33 | // store the face images in an array |
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| 34 | for(iFace=0; iFace<nFaces; iFace++) |
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| 35 | { |
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| 36 | int aux = 0; |
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| 37 | // read person number and name of image file |
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| 38 | fscanf(imgListFile, "%d %s", &aux, imgFilename); |
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| 39 | // load the face image |
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| 40 | faceImgArr[iFace] = cvLoadImage(imgFilename, CV_LOAD_IMAGE_GRAYSCALE); |
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| 41 | |
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| 42 | if( !faceImgArr[iFace] ) |
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| 43 | { |
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| 44 | fprintf(stderr, "Can\'t load image from %s\n", imgFilename); |
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| 45 | return 0; |
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| 46 | } |
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| 47 | } |
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| 48 | |
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| 49 | fclose(imgListFile); |
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| 50 | |
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| 51 | return nFaces; |
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| 52 | } |
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| 53 | |
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| 54 | void calcMeanImage(int nrFaces, IplImage** imgArray, int faceStep, |
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| 55 | CvSize size, float *avg, int avgStep) |
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| 56 | { |
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| 57 | int i,j,k; |
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| 58 | float m = 1.0f / (float) nrFaces; |
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| 59 | float* bf = avg; |
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| 60 | |
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| 61 | for( i = 0; i < size.height; i++, bf += avgStep) |
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| 62 | for( j = 0; j < size.width; j++ ) |
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| 63 | bf[j] = 0.f; |
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| 64 | |
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| 65 | for( i = 0; i < nrFaces; i++ ) |
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| 66 | { |
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| 67 | uchar* bu = (uchar *)imgArray[i]->imageData; |
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| 68 | bf = avg; |
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| 69 | for( k = 0; k < size.height; k++, bf += avgStep, bu += faceStep ) |
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| 70 | for( j = 0; j < size.width; j++ ) |
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| 71 | bf[j] += bu[j]; |
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| 72 | } |
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| 73 | |
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| 74 | bf = avg; |
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| 75 | for( i = 0; i < size.height; i++, bf += avgStep) |
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| 76 | for( j = 0; j < size.width; j++ ) { |
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| 77 | bf[j] *= m; |
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| 78 | } |
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| 79 | } |
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| 80 | |
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| 81 | void calcCovarMatrix(int nrFaces, IplImage** imgArray, int faceStep, |
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| 82 | CvSize size, float *avg, int avgStep, float *covarMatrix) |
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| 83 | { |
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| 84 | int i,j,k,l; |
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| 85 | |
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| 86 | for( i = 0; i < nrFaces; i++ ) |
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| 87 | { |
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| 88 | uchar *bu = (uchar *)imgArray[i]->imageData; |
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| 89 | |
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| 90 | for( j = i; j < nrFaces; j++ ) |
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| 91 | { |
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| 92 | int k, l; |
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| 93 | float w = 0.f; |
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| 94 | float *a = avg; |
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| 95 | uchar *bu1 = bu; |
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| 96 | uchar *bu2 = (uchar *)imgArray[j]->imageData; |
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| 97 | |
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| 98 | for( k = 0; k < size.height; |
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| 99 | k++, bu1 += faceStep, bu2 += faceStep, a += avgStep ) |
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| 100 | { |
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| 101 | for( l = 0; l < size.width - 3; l += 4 ) |
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| 102 | { |
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| 103 | float f = a[l]; |
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| 104 | uchar u1 = bu1[l]; |
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| 105 | uchar u2 = bu2[l]; |
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| 106 | |
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| 107 | w += (u1 - f) * (u2 - f); |
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| 108 | f = a[l + 1]; |
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| 109 | u1 = bu1[l + 1]; |
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| 110 | u2 = bu2[l + 1]; |
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| 111 | w += (u1 - f) * (u2 - f); |
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| 112 | f = a[l + 2]; |
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| 113 | u1 = bu1[l + 2]; |
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| 114 | u2 = bu2[l + 2]; |
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| 115 | w += (u1 - f) * (u2 - f); |
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| 116 | f = a[l + 3]; |
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| 117 | u1 = bu1[l + 3]; |
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| 118 | u2 = bu2[l + 3]; |
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| 119 | w += (u1 - f) * (u2 - f); |
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| 120 | } |
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| 121 | for( ; l < size.width; l++ ) |
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| 122 | { |
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| 123 | float f = a[l]; |
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| 124 | uchar u1 = bu1[l]; |
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| 125 | uchar u2 = bu2[l]; |
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| 126 | |
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| 127 | w += (u1 - f) * (u2 - f); |
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| 128 | } |
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| 129 | } |
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| 130 | |
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| 131 | covarMatrix[i * nrFaces + j] = covarMatrix[j * nrFaces + i] = w; |
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| 132 | } |
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| 133 | } |
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| 134 | } |
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| 135 | |
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| 136 | int main(int argc, char *argv[]) { |
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| 137 | int faceImgStep, avgStep; |
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| 138 | CvSize faceImgSize; |
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| 139 | float *covarMat; |
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| 140 | float *eigVect; |
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| 141 | float *eigValue; |
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| 142 | |
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| 143 | // load training data |
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| 144 | nTrainFaces = loadFaceImgArray("train.txt"); |
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| 145 | if( nTrainFaces < 2 ) |
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| 146 | { |
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| 147 | fprintf(stderr, |
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| 148 | "Need 2 or more training faces\n" |
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| 149 | "Input file contains only %d\n", nTrainFaces); |
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| 150 | return; |
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| 151 | } |
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| 152 | |
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| 153 | faceImgSize.width = faceImgArr[0]->width; |
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| 154 | faceImgSize.height = faceImgArr[0]->height; |
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| 155 | faceImgStep = faceImgArr[0]->widthStep/sizeof(uchar); |
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| 156 | pAvgTrainImg = cvCreateImage(faceImgSize, IPL_DEPTH_32F, 1); |
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| 157 | avgStep = pAvgTrainImg->widthStep/sizeof(float); |
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| 158 | |
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| 159 | calcMeanImage( nTrainFaces, |
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| 160 | faceImgArr, |
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| 161 | faceImgStep, |
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| 162 | faceImgSize, |
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| 163 | (float *)pAvgTrainImg->imageData, |
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| 164 | avgStep ); |
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| 165 | |
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| 166 | covarMat = (float *) cvAlloc( sizeof( float ) * nTrainFaces * nTrainFaces ); |
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| 167 | |
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| 168 | calcCovarMatrix( nTrainFaces, |
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| 169 | faceImgArr, |
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| 170 | faceImgStep, |
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| 171 | faceImgSize, |
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| 172 | (float *)pAvgTrainImg->imageData, |
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| 173 | avgStep, |
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| 174 | covarMat ); |
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| 175 | |
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| 176 | eigVect = (float *) cvAlloc( sizeof( float ) * nTrainFaces * nTrainFaces); |
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| 177 | eigVals = (float *) cvAlloc( sizeof( float ) * nTrainFaces ); |
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| 178 | |
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| 179 | // jacobi call |
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| 180 | |
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| 181 | |
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| 182 | //~ /* Eigen objects number determination */ |
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| 183 | //~ if( calcLimit->type != CV_TERMCRIT_NUMBER ) |
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| 184 | //~ { |
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| 185 | //~ for( i = 0; i < m1; i++ ) |
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| 186 | //~ if( fabs( eigVals[i] / eigVals[0] ) < calcLimit->epsilon ) |
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| 187 | //~ break; |
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| 188 | //~ m1 = calcLimit->max_iter = i; |
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| 189 | //~ } |
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| 190 | //~ else |
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| 191 | //~ m1 = calcLimit->max_iter; |
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| 192 | //~ calcLimit->epsilon = (float) fabs( eigVals[m1 - 1] / eigVals[0] ); |
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| 193 | |
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| 194 | //~ for( i = 0; i < m1; i++ ) |
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| 195 | //~ eigVals[i] = (float) (1.0 / sqrt( (double)eigVals[i] )); |
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| 196 | |
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| 197 | //~ for(i=0; i<nTrainFaces; i++) |
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| 198 | //~ { |
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| 199 | //~ sprintf(win_name,"win %d", i); |
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| 200 | //~ cvNamedWindow(win_name, CV_WINDOW_AUTOSIZE); |
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| 201 | //~ cvMoveWindow(win_name, i*100, i*100); // offset from the UL corner of the screen |
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| 202 | //~ cvShowImage(win_name,faceImgArr[i]); |
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| 203 | //~ } |
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| 204 | sprintf(win_name,"win1"); |
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| 205 | cvNamedWindow(win_name, CV_WINDOW_AUTOSIZE); |
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| 206 | cvShowImage(win_name,pAvgTrainImg); |
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| 207 | while(1) { |
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| 208 | if( (char)27==cvWaitKey(20) ) break; |
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| 209 | } |
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| 210 | cvDestroyWindow(win_name); |
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| 211 | |
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| 212 | //~ for(i=0; i<nTrainFaces; i++) |
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| 213 | //~ { |
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| 214 | //~ sprintf(win_name,"win %d", i); |
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| 215 | //~ cvDestroyWindow(win_name); |
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| 216 | //~ } |
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| 217 | |
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| 218 | return 0; |
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| 219 | } |
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