Index: /proiecte/PPPP/eigenface/Makefile
===================================================================
--- /proiecte/PPPP/eigenface/Makefile	(revision 28)
+++ /proiecte/PPPP/eigenface/Makefile	(revision 28)
@@ -0,0 +1,2 @@
+all:
+	gcc `pkg-config opencv --cflags --libs` -o cwrapper camshift_wrapper.c facedet.c capture.c eigenface.c TrackFaces.c
Index: /proiecte/PPPP/eigenface/README
===================================================================
--- /proiecte/PPPP/eigenface/README	(revision 28)
+++ /proiecte/PPPP/eigenface/README	(revision 28)
@@ -0,0 +1,11 @@
+Eigenface face recognition
+---------------------------
+
+- to compile simply run: make
+- to run use: 
+    ./cwrapper train
+ and then
+    ./cwrapper test
+
+
+
Index: /proiecte/PPPP/eigenface/TrackFaces.c
===================================================================
--- /proiecte/PPPP/eigenface/TrackFaces.c	(revision 28)
+++ /proiecte/PPPP/eigenface/TrackFaces.c	(revision 28)
@@ -0,0 +1,207 @@
+// TrackFaces.c - by Robin Hewitt, 2007
+// http://www.cognotics.com/opencv/downloads/camshift_wrapper
+// This is free software. See License.txt, in the download
+// package, for details.
+//
+
+///////////////////////////////////////////////////////////////////////////////
+// An example program that It detects a face in live video, and automatically
+// begins tracking it, using the Simple Camshift Wrapper.
+
+#include "cv.h"
+#include "highgui.h"
+#include <stdio.h>
+#include "capture.h"
+#include "facedet.h"
+#include "camshift_wrapper.h"
+#include "eigenface.h"
+
+//// Constants
+const char * DISPLAY_WINDOW = "DisplayWindow";
+const char * DISPLAY_WINDOW2 = "FaceWindow";
+#define OPENCV_ROOT  "/home/marius/OpenCV-2.0.0"
+
+
+//// Global variables
+IplImage  * pVideoFrameCopy = 0;
+
+
+//// Function definitions
+int initAll();
+void exitProgram(int code);
+void captureVideoFrame();
+IplImage* convert_grayscale(IplImage *img);
+
+//////////////////////////////////
+// main()
+//
+void main( int argc, char** argv )
+{
+	CvRect * pFaceRect = 0;
+
+	// validate that an input was specified
+	if( argc != 2 )
+	{
+		printUsage();
+		return;
+	}
+
+	if( !strcmp(argv[1], "train") ) learn();
+	else if( !strcmp(argv[1], "test") )
+	{
+		if( !initAll() ) exitProgram(-1);
+
+		// Capture and display video frames until a face
+		// is detected
+		while( 1 )
+		{
+			// Look for a face in the next video frame
+			captureVideoFrame();
+			pFaceRect = detectFace(pVideoFrameCopy);
+
+			// Show the display image
+			cvShowImage( DISPLAY_WINDOW, pVideoFrameCopy );
+			if( (char)27==cvWaitKey(20) ) exitProgram(0);
+
+			// exit loop when a face is detected
+			if(pFaceRect) break;
+		}
+
+		// initialize tracking
+		startTracking(pVideoFrameCopy, pFaceRect);
+		CvMat * trainPersonNumMat = 0;
+		if( !loadTrainingData( &trainPersonNumMat ) ) return;
+
+		// Track the detected face using CamShift
+		while( 1 )
+		{
+			CvBox2D faceBox;
+			CvRect r;
+			// get the next video frame
+			captureVideoFrame();
+
+			// track the face in the new video frame
+			r = track(pVideoFrameCopy);
+
+			cvSetImageROI(pVideoFrameCopy, r);
+			IplImage * pFaceImg =
+			  cvCreateImage( cvSize(92,112), pVideoFrameCopy->depth, pVideoFrameCopy->nChannels );
+			cvResize(pVideoFrameCopy, pFaceImg, CV_INTER_AREA );
+					cvResetImageROI(pVideoFrameCopy);
+			pFaceImg = convert_grayscale(pFaceImg);
+
+			CvPoint pt1 = { r.x, r.y };
+			CvPoint pt2 = { r.x + r.width, r.y + r.height };
+			cvRectangle(pVideoFrameCopy, pt1, pt2, CV_RGB(0,255,0), 3, 4, 0);
+
+			recognize(pFaceImg, trainPersonNumMat);
+	//		faceBox = track(pVideoFrameCopy);
+	//
+	//		// outline face ellipse
+	//		cvEllipseBox(pVideoFrameCopy, faceBox,
+	//		             CV_RGB(255,0,0), 3, CV_AA, 0 );
+			cvShowImage( DISPLAY_WINDOW, pVideoFrameCopy );
+			cvShowImage( DISPLAY_WINDOW2, pFaceImg );
+			if( (char)27==cvWaitKey(20) ) break;
+		}
+	}
+	else
+	{
+		printf("Unknown command: %s\n", argv[1]);
+		printUsage();
+	}
+
+	exitProgram(0);
+}
+
+IplImage* convert_grayscale(IplImage *img)
+{
+	IplImage *gray_image,*gray_img0;
+	gray_image=cvCloneImage(img);
+
+	//check image is it gray or not if nor convert it to the gray
+	if(img->nChannels!=1){
+	//convert original image to gray_scale image
+		gray_img0 = cvCreateImage(cvSize( gray_image->width,
+											gray_image->height), 8, 1 );
+		cvCvtColor(gray_image, gray_img0, CV_RGB2GRAY );
+		gray_image = cvCloneImage( gray_img0 );
+	}
+
+	return gray_image;
+}
+
+//////////////////////////////////
+// initAll()
+//
+int initAll()
+{
+	if( !initCapture() ) return 0;
+	if( !initFaceDet(OPENCV_ROOT
+		"/data/haarcascades/haarcascade_frontalface_default.xml"))
+		return 0;
+
+	// Startup message tells user how to begin and how to exit
+	printf( "\n********************************************\n"
+	        "To exit, click inside the video display,\n"
+	        "then press the ESC key\n\n"
+			"Press <ENTER> to begin"
+			"\n********************************************\n" );
+	fgetc(stdin);
+
+	// Create the display window
+	cvNamedWindow( DISPLAY_WINDOW, 1 );
+	cvNamedWindow( DISPLAY_WINDOW2, 1 );
+	//cvSetMouseCallback( DISPLAY_WINDOW, on_mouse, 0 );
+	// Initialize tracker
+	captureVideoFrame();
+	if( !createTracker(pVideoFrameCopy) ) return 0;
+
+	// Set Camshift parameters
+	setVmin(70);
+	setSmin(30);
+
+	return 1;
+}
+
+
+//////////////////////////////////
+// exitProgram()
+//
+void exitProgram(int code)
+{
+	// Release resources allocated in this file
+	cvDestroyWindow( DISPLAY_WINDOW );
+	cvReleaseImage( &pVideoFrameCopy );
+
+	// Release resources allocated in other project files
+	closeCapture();
+	closeFaceDet();
+	releaseTracker();
+
+	exit(code);
+}
+
+
+//////////////////////////////////
+// captureVideoFrame()
+//
+void captureVideoFrame()
+{
+	// Capture the next frame
+	IplImage  * pVideoFrame = nextVideoFrame();
+	if( !pVideoFrame ) exitProgram(-1);
+
+	// Copy it to the display image, inverting it if needed
+	if( !pVideoFrameCopy )
+		pVideoFrameCopy = cvCreateImage( cvGetSize(pVideoFrame), 8, 3 );
+	cvCopy( pVideoFrame, pVideoFrameCopy, 0 );
+	pVideoFrameCopy->origin = pVideoFrame->origin;
+
+	if( 1 == pVideoFrameCopy->origin ) // 1 means the image is inverted
+	{
+		cvFlip( pVideoFrameCopy, 0, 0 );
+		pVideoFrameCopy->origin = 0;
+	}
+}
+
Index: /proiecte/PPPP/eigenface/camshift_wrapper.c
===================================================================
--- /proiecte/PPPP/eigenface/camshift_wrapper.c	(revision 28)
+++ /proiecte/PPPP/eigenface/camshift_wrapper.c	(revision 28)
@@ -0,0 +1,155 @@
+// camshift_wrapper.c - by Robin Hewitt, 2007
+// http://www.cognotics.com/opencv/downloads/camshift_wrapper
+// This is free software. See License.txt, in the download
+// package, for details.
+//
+
+#include "cv.h"
+#include <stdio.h>
+#include "camshift_wrapper.h"
+
+
+// Parameters
+int   nHistBins = 30;                 // number of histogram bins
+float rangesArr[] = {0,180};          // histogram range
+int vmin = 65, vmax = 100, smin = 55; // limits for calculating hue
+
+
+// File-level variables
+IplImage * pHSVImg  = 0; // the input image converted to HSV color mode
+IplImage * pHueImg  = 0; // the Hue channel of the HSV image
+IplImage * pMask    = 0; // this image is used for masking pixels
+IplImage * pProbImg = 0; // the face probability estimates for each pixel
+CvHistogram * pHist = 0; // histogram of hue in the original face image
+
+CvRect prevFaceRect;  // location of face in previous frame
+CvBox2D faceBox;      // current face-location estimate
+
+
+int nFrames = 0;
+
+
+// Declarations for internal functions
+void updateHueImage(const IplImage * pImg);
+
+
+//////////////////////////////////
+// createTracker()
+//
+int createTracker(const IplImage * pImg)
+{
+	// Allocate the main data structures ahead of time
+	float * pRanges = rangesArr;
+	pHSVImg  = cvCreateImage( cvGetSize(pImg), 8, 3 );
+	pHueImg  = cvCreateImage( cvGetSize(pImg), 8, 1 );
+	pMask    = cvCreateImage( cvGetSize(pImg), 8, 1 );
+	pProbImg = cvCreateImage( cvGetSize(pImg), 8, 1 );
+
+	pHist = cvCreateHist( 1, &nHistBins, CV_HIST_ARRAY, &pRanges, 1 );
+
+	return 1;
+}
+
+
+//////////////////////////////////
+// releaseTracker()
+//
+void releaseTracker()
+{
+	// Release all tracker resources
+	cvReleaseImage( &pHSVImg );
+	cvReleaseImage( &pHueImg );
+	cvReleaseImage( &pMask );
+	cvReleaseImage( &pProbImg );
+
+	cvReleaseHist( &pHist );
+}
+
+
+//////////////////////////////////
+// startTracking()
+//
+void startTracking(IplImage * pImg, CvRect * pFaceRect)
+{
+	float maxVal = 0.f;
+
+	// Make sure internal data structures have been allocated
+	if( !pHist ) createTracker(pImg);
+
+	// Create a new hue image
+	updateHueImage(pImg);
+
+	// Create a histogram representation for the face
+    cvSetImageROI( pHueImg, *pFaceRect );
+    cvSetImageROI( pMask,   *pFaceRect );
+    cvCalcHist( &pHueImg, pHist, 0, pMask );
+    cvGetMinMaxHistValue( pHist, 0, &maxVal, 0, 0 );
+    cvConvertScale( pHist->bins, pHist->bins, maxVal? 255.0/maxVal : 0, 0 );
+    cvResetImageROI( pHueImg );
+    cvResetImageROI( pMask );
+
+	// Store the previous face location
+	prevFaceRect = *pFaceRect;
+}
+
+
+//////////////////////////////////
+// track()
+//
+CvRect track(IplImage * pImg)
+{
+	CvConnectedComp components;
+
+	// Create a new hue image
+	updateHueImage(pImg);
+
+	// Create a probability image based on the face histogram
+	cvCalcBackProject( &pHueImg, pProbImg, pHist );
+    cvAnd( pProbImg, pMask, pProbImg, 0 );
+
+	// Use CamShift to find the center of the new face probability
+    cvCamShift( pProbImg, prevFaceRect,
+                cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),
+                &components, &faceBox );
+
+	// Update face location and angle
+    prevFaceRect = components.rect;
+	faceBox.angle = -faceBox.angle;
+	//cvEllipseBox(pImg, faceBox,
+	//				 CV_RGB(255,0,0), 3, CV_AA, 0 );
+	return prevFaceRect;
+	//return faceBox;
+}
+
+
+//////////////////////////////////
+// updateHueImage()
+//
+void updateHueImage(const IplImage * pImg)
+{
+	// Convert to HSV color model
+	cvCvtColor( pImg, pHSVImg, CV_BGR2HSV );
+
+	// Mask out-of-range values
+	cvInRangeS( pHSVImg, cvScalar(0, smin, MIN(vmin,vmax), 0),
+	            cvScalar(180, 256, MAX(vmin,vmax) ,0), pMask );
+
+	// Extract the hue channel
+	cvSplit( pHSVImg, pHueImg, 0, 0, 0 );
+}
+
+
+//////////////////////////////////
+// setVmin()
+//
+void setVmin(int _vmin)
+{ vmin = _vmin; }
+
+
+//////////////////////////////////
+// setSmin()
+//
+void setSmin(int _smin)
+{ smin = _smin; }
+
+
Index: /proiecte/PPPP/eigenface/camshift_wrapper.h
===================================================================
--- /proiecte/PPPP/eigenface/camshift_wrapper.h	(revision 28)
+++ /proiecte/PPPP/eigenface/camshift_wrapper.h	(revision 28)
@@ -0,0 +1,23 @@
+// camshift_wrapper.h - by Robin Hewitt, 2007
+// http://www.cognotics.com/opencv/downloads/camshift_wrapper
+// This is free software. See License.txt, in the download
+// package, for details.
+//
+//
+// Public interface for the Simple Camshift Wrapper
+
+#ifndef __SIMPLE_CAMSHIFT_WRAPPER_H
+#define __SIMPLE_CAMSHIFT_WRAPPER_H
+
+// Main Control functions
+int     createTracker(const IplImage * pImg);
+void    releaseTracker();
+void    startTracking(IplImage * pImg, CvRect * pRect);
+//CvBox2D track(IplImage *);
+CvRect track(IplImage *);
+
+// Parameter settings
+void setVmin(int vmin);
+void setSmin(int smin);
+
+#endif
Index: /proiecte/PPPP/eigenface/capture.c
===================================================================
--- /proiecte/PPPP/eigenface/capture.c	(revision 28)
+++ /proiecte/PPPP/eigenface/capture.c	(revision 28)
@@ -0,0 +1,56 @@
+// capture.c - by Robin Hewitt, 2007
+// http://www.cognotics.com/opencv/downloads/camshift_wrapper
+// This is free software. See License.txt, in the download
+// package, for details.
+//
+
+
+#include <stdio.h>
+#include "cv.h"
+#include "highgui.h"
+#include "capture.h"
+
+
+// File-level variables
+CvCapture * pCapture = 0;
+
+//////////////////////////////////
+// initCapture()
+//
+int initCapture()
+{
+	// Initialize video capture
+	pCapture = cvCaptureFromCAM( CV_CAP_ANY );
+	if( !pCapture )
+	{
+		fprintf(stderr, "failed to initialize video capture\n");
+		return 0;
+	}
+
+	return 1;
+}
+
+
+//////////////////////////////////
+// closeCapture()
+//
+void closeCapture()
+{
+	// Terminate video capture and free capture resources
+	cvReleaseCapture( &pCapture );
+	return;
+}
+
+
+//////////////////////////////////
+// nextVideoFrame()
+//
+IplImage * nextVideoFrame()
+{
+	IplImage * pVideoFrame = cvQueryFrame( pCapture );
+	if( !pVideoFrame )
+		fprintf(stderr, "failed to get a video frame\n");
+
+	return pVideoFrame;
+}
+
Index: /proiecte/PPPP/eigenface/capture.h
===================================================================
--- /proiecte/PPPP/eigenface/capture.h	(revision 28)
+++ /proiecte/PPPP/eigenface/capture.h	(revision 28)
@@ -0,0 +1,12 @@
+// capture.h - by Robin Hewitt, 2007
+// http://www.cognotics.com/opencv/downloads/camshift_wrapper
+// This is free software. See License.txt, in the download
+// package, for details.
+//
+
+
+// Public interface for video capture
+int  initCapture();
+void closeCapture();
+IplImage * nextVideoFrame();
+
Index: /proiecte/PPPP/eigenface/eigenface.c
===================================================================
--- /proiecte/PPPP/eigenface/eigenface.c	(revision 28)
+++ /proiecte/PPPP/eigenface/eigenface.c	(revision 28)
@@ -0,0 +1,357 @@
+// eigenface.c, by Robin Hewitt, 2007
+//
+// Example program showing how to implement eigenface with OpenCV
+
+// Usage:
+//
+// First, you need some face images. I used the ORL face database.
+// You can download it for free at
+//    www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
+//
+// List the training and test face images you want to use in the
+// input files train.txt and test.txt. (Example input files are provided
+// in the download.) To use these input files exactly as provided, unzip
+// the ORL face database, and place train.txt, test.txt, and eigenface.exe
+// at the root of the unzipped database.
+//
+// To run the learning phase of eigenface, enter
+//    eigenface train
+// at the command prompt. To run the recognition phase, enter
+//    eigenface test
+
+
+#include <stdio.h>
+#include <string.h>
+#include "cv.h"
+#include "cvaux.h"
+#include "highgui.h"
+
+
+//// Global variables
+IplImage ** faceImgArr        = 0; // array of face images
+CvMat    *  personNumTruthMat = 0; // array of person numbers
+int nTrainFaces               = 0; // the number of training images
+int nEigens                   = 0; // the number of eigenvalues
+IplImage * pAvgTrainImg       = 0; // the average image
+IplImage ** eigenVectArr      = 0; // eigenvectors
+CvMat * eigenValMat           = 0; // eigenvalues
+CvMat * projectedTrainFaceMat = 0; // projected training faces
+
+
+//// Function prototypes
+void learn();
+void recognize();
+void doPCA();
+void storeTrainingData();
+int  loadTrainingData(CvMat ** pTrainPersonNumMat);
+int  findNearestNeighbor(float * projectedTestFace);
+int  loadFaceImgArray(char * filename);
+void printUsage();
+
+
+//////////////////////////////////
+// main()
+//
+//void main( int argc, char** argv )
+//{
+//	// validate that an input was specified
+//	if( argc != 2 )
+//	{
+//		printUsage();
+//		return;
+//	}
+//
+//	if( !strcmp(argv[1], "train") ) learn();
+//	else if( !strcmp(argv[1], "test") ) recognize();
+//	else
+//	{
+//		printf("Unknown command: %s\n", argv[1]);
+//		printUsage();
+//	}
+//}
+
+
+//////////////////////////////////
+// learn()
+//
+void learn()
+{
+	int i, offset;
+
+	// load training data
+	nTrainFaces = loadFaceImgArray("train.txt");
+	if( nTrainFaces < 2 )
+	{
+		fprintf(stderr,
+		        "Need 2 or more training faces\n"
+		        "Input file contains only %d\n", nTrainFaces);
+		return;
+	}
+
+	// do PCA on the training faces
+	doPCA();
+
+	// project the training images onto the PCA subspace
+	projectedTrainFaceMat = cvCreateMat( nTrainFaces, nEigens, CV_32FC1 );
+	offset = projectedTrainFaceMat->step / sizeof(float);
+	for(i=0; i<nTrainFaces; i++)
+	{
+		//int offset = i * nEigens;
+		cvEigenDecomposite(
+			faceImgArr[i],
+			nEigens,
+			eigenVectArr,
+			0, 0,
+			pAvgTrainImg,
+			//projectedTrainFaceMat->data.fl + i*nEigens);
+			projectedTrainFaceMat->data.fl + i*offset);
+	}
+
+	// store the recognition data as an xml file
+	storeTrainingData();
+}
+
+
+//////////////////////////////////
+// recognize()
+//
+void recognize(IplImage *faceImg, CvMat * trainPersonNumMat)
+{
+	int i, nTestFaces  = 0;         // the number of test images
+	//CvMat * trainPersonNumMat = 0;  // the person numbers during training
+	float * projectedTestFace = 0;
+	int iNearest, nearest, truth;
+
+	// load test images and ground truth for person number
+	//nTestFaces = loadFaceImgArray("test.txt");
+	//printf("%d test faces loaded\n", nTestFaces);
+
+	// load the saved training data
+	//if( !loadTrainingData( &trainPersonNumMat ) ) return;
+
+	// project the test images onto the PCA subspace
+	projectedTestFace = (float *)cvAlloc( nEigens*sizeof(float) );
+//	for(i=0; i<nTestFaces; i++)
+//	{
+//		int iNearest, nearest, truth;
+
+		// project the test image onto the PCA subspace
+		cvEigenDecomposite(
+			faceImg,
+			nEigens,
+			eigenVectArr,
+			0, 0,
+			pAvgTrainImg,
+			projectedTestFace);
+
+		iNearest = findNearestNeighbor(projectedTestFace);
+		//truth    = personNumTruthMat->data.i[i];
+		nearest  = trainPersonNumMat->data.i[iNearest];
+
+		printf("nearest = %d\n", nearest);
+//	}
+}
+
+
+//////////////////////////////////
+// loadTrainingData()
+//
+//int loadTrainingData(CvMat ** pTrainPersonNumMat)
+int loadTrainingData(CvMat ** pTrainPersonNumMat)
+{
+	CvFileStorage * fileStorage;
+	int i;
+
+	// create a file-storage interface
+	fileStorage = cvOpenFileStorage( "facedata.xml", 0, CV_STORAGE_READ );
+	if( !fileStorage )
+	{
+		fprintf(stderr, "Can't open facedata.xml\n");
+		return 0;
+	}
+
+	nEigens = cvReadIntByName(fileStorage, 0, "nEigens", 0);
+	nTrainFaces = cvReadIntByName(fileStorage, 0, "nTrainFaces", 0);
+	*pTrainPersonNumMat = (CvMat *)cvReadByName(fileStorage, 0, "trainPersonNumMat", 0);
+	eigenValMat  = (CvMat *)cvReadByName(fileStorage, 0, "eigenValMat", 0);
+	projectedTrainFaceMat = (CvMat *)cvReadByName(fileStorage, 0, "projectedTrainFaceMat", 0);
+	pAvgTrainImg = (IplImage *)cvReadByName(fileStorage, 0, "avgTrainImg", 0);
+	eigenVectArr = (IplImage **)cvAlloc(nTrainFaces*sizeof(IplImage *));
+	for(i=0; i<nEigens; i++)
+	{
+		char varname[200];
+		sprintf( varname, "eigenVect_%d", i );
+		eigenVectArr[i] = (IplImage *)cvReadByName(fileStorage, 0, varname, 0);
+	}
+
+	// release the file-storage interface
+	cvReleaseFileStorage( &fileStorage );
+
+	return 1;
+}
+
+
+//////////////////////////////////
+// storeTrainingData()
+//
+void storeTrainingData()
+{
+	CvFileStorage * fileStorage;
+	int i;
+
+	// create a file-storage interface
+	fileStorage = cvOpenFileStorage( "facedata.xml", 0, CV_STORAGE_WRITE );
+
+	// store all the data
+	cvWriteInt( fileStorage, "nEigens", nEigens );
+	cvWriteInt( fileStorage, "nTrainFaces", nTrainFaces );
+	cvWrite(fileStorage, "trainPersonNumMat", personNumTruthMat, cvAttrList(0,0));
+	cvWrite(fileStorage, "eigenValMat", eigenValMat, cvAttrList(0,0));
+	cvWrite(fileStorage, "projectedTrainFaceMat", projectedTrainFaceMat, cvAttrList(0,0));
+	cvWrite(fileStorage, "avgTrainImg", pAvgTrainImg, cvAttrList(0,0));
+	for(i=0; i<nEigens; i++)
+	{
+		char varname[200];
+		sprintf( varname, "eigenVect_%d", i );
+		cvWrite(fileStorage, varname, eigenVectArr[i], cvAttrList(0,0));
+	}
+
+	// release the file-storage interface
+	cvReleaseFileStorage( &fileStorage );
+}
+
+
+//////////////////////////////////
+// findNearestNeighbor()
+//
+int findNearestNeighbor(float * projectedTestFace)
+{
+	//double leastDistSq = 1e12;
+	double leastDistSq = DBL_MAX;
+	int i, iTrain, iNearest = 0;
+
+	for(iTrain=0; iTrain<nTrainFaces; iTrain++)
+	{
+		double distSq=0;
+
+		for(i=0; i<nEigens; i++)
+		{
+			float d_i =
+				projectedTestFace[i] -
+				projectedTrainFaceMat->data.fl[iTrain*nEigens + i];
+			distSq += d_i*d_i / eigenValMat->data.fl[i];  // Mahalanobis
+			//distSq += d_i*d_i; // Euclidean
+		}
+
+		if(distSq < leastDistSq)
+		{
+			leastDistSq = distSq;
+			iNearest = iTrain;
+		}
+	}
+
+	return iNearest;
+}
+
+
+//////////////////////////////////
+// doPCA()
+//
+void doPCA()
+{
+	int i;
+	CvTermCriteria calcLimit;
+	CvSize faceImgSize;
+
+	// set the number of eigenvalues to use
+	nEigens = nTrainFaces-1;
+
+	// allocate the eigenvector images
+	faceImgSize.width  = faceImgArr[0]->width;
+	faceImgSize.height = faceImgArr[0]->height;
+	eigenVectArr = (IplImage**)cvAlloc(sizeof(IplImage*) * nEigens);
+	for(i=0; i<nEigens; i++)
+		eigenVectArr[i] = cvCreateImage(faceImgSize, IPL_DEPTH_32F, 1);
+
+	// allocate the eigenvalue array
+	eigenValMat = cvCreateMat( 1, nEigens, CV_32FC1 );
+
+	// allocate the averaged image
+	pAvgTrainImg = cvCreateImage(faceImgSize, IPL_DEPTH_32F, 1);
+
+	// set the PCA termination criterion
+	calcLimit = cvTermCriteria( CV_TERMCRIT_ITER, nEigens, 1);
+
+	// compute average image, eigenvalues, and eigenvectors
+	cvCalcEigenObjects(
+		nTrainFaces,
+		(void*)faceImgArr,
+		(void*)eigenVectArr,
+		CV_EIGOBJ_NO_CALLBACK,
+		0,
+		0,
+		&calcLimit,
+		pAvgTrainImg,
+		eigenValMat->data.fl);
+
+	cvNormalize(eigenValMat, eigenValMat, 1, 0, CV_L1, 0);
+}
+
+
+//////////////////////////////////
+// loadFaceImgArray()
+//
+int loadFaceImgArray(char * filename)
+{
+	FILE * imgListFile = 0;
+	char imgFilename[512];
+	int iFace, nFaces=0;
+
+
+	// open the input file
+	if( !(imgListFile = fopen(filename, "r")) )
+	{
+		fprintf(stderr, "Can\'t open file %s\n", filename);
+		return 0;
+	}
+
+	// count the number of faces
+	while( fgets(imgFilename, 512, imgListFile) ) ++nFaces;
+	rewind(imgListFile);
+
+	// allocate the face-image array and person number matrix
+	faceImgArr        = (IplImage **)cvAlloc( nFaces*sizeof(IplImage *) );
+	personNumTruthMat = cvCreateMat( 1, nFaces, CV_32SC1 );
+
+	// store the face images in an array
+	for(iFace=0; iFace<nFaces; iFace++)
+	{
+		// read person number and name of image file
+		fscanf(imgListFile,
+			"%d %s", personNumTruthMat->data.i+iFace, imgFilename);
+		// load the face image
+		faceImgArr[iFace] = cvLoadImage(imgFilename, CV_LOAD_IMAGE_GRAYSCALE);
+
+		if( !faceImgArr[iFace] )
+		{
+			fprintf(stderr, "Can\'t load image from %s\n", imgFilename);
+			return 0;
+		}
+	}
+
+	fclose(imgListFile);
+
+	return nFaces;
+}
+
+
+//////////////////////////////////
+// printUsage()
+//
+void printUsage()
+{
+	printf("Usage: eigenface <command>\n",
+	       "  Valid commands are\n"
+	       "    train\n"
+	       "    test\n");
+}
Index: /proiecte/PPPP/eigenface/eigenface.h
===================================================================
--- /proiecte/PPPP/eigenface/eigenface.h	(revision 28)
+++ /proiecte/PPPP/eigenface/eigenface.h	(revision 28)
@@ -0,0 +1,5 @@
+// Public interface for eigenface face recognition
+void learn();
+int loadTrainingData(CvMat ** pTrainPersonNumMat);
+void recognize(IplImage *faceImg, CvMat * trainPersonNumMat);
+void printUsage();
Index: /proiecte/PPPP/eigenface/facedata.xml
===================================================================
--- /proiecte/PPPP/eigenface/facedata.xml	(revision 28)
+++ /proiecte/PPPP/eigenface/facedata.xml	(revision 28)
@@ -0,0 +1,3616 @@
+<?xml version="1.0"?>
+<opencv_storage>
+<nEigens>1</nEigens>
+<nTrainFaces>2</nTrainFaces>
+<trainPersonNumMat type_id="opencv-matrix">
+  <rows>1</rows>
+  <cols>2</cols>
+  <dt>i</dt>
+  <data>
+    1 2</data></trainPersonNumMat>
+<eigenValMat type_id="opencv-matrix">
+  <rows>1</rows>
+  <cols>1</cols>
+  <dt>f</dt>
+  <data>
+    1.</data></eigenValMat>
+<projectedTrainFaceMat type_id="opencv-matrix">
+  <rows>2</rows>
+  <cols>1</cols>
+  <dt>f</dt>
+  <data>
+    0. 0.</data></projectedTrainFaceMat>
+<avgTrainImg type_id="opencv-image">
+  <width>92</width>
+  <height>112</height>
+  <origin>top-left</origin>
+  <layout>interleaved</layout>
+  <dt>f</dt>
+  <data>
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+    9.84551036e-04 1.27991638e-03 1.57528173e-03</data></eigenVect_0>
+</opencv_storage>
Index: /proiecte/PPPP/eigenface/facedet.c
===================================================================
--- /proiecte/PPPP/eigenface/facedet.c	(revision 28)
+++ /proiecte/PPPP/eigenface/facedet.c	(revision 28)
@@ -0,0 +1,77 @@
+// facedet.c - by Robin Hewitt, 2007
+// http://www.cognotics.com/opencv/downloads/camshift_wrapper
+// This is free software. See License.txt, in the download
+// package, for details.
+//
+
+#include "cv.h"
+#include <stdio.h>
+#include "facedet.h"
+
+
+// File-level variables
+CvHaarClassifierCascade * pCascade = 0;  // the face detector
+CvMemStorage * pStorage = 0;             // memory for detector to use
+CvSeq * pFaceRectSeq;                    // memory-access interface
+
+
+//////////////////////////////////
+// initFaceDet()
+//
+int initFaceDet(const char * haarCascadePath)
+{
+	if( !(pStorage = cvCreateMemStorage(0)) )
+	{
+		fprintf(stderr, "Can\'t allocate memory for face detection\n");
+		return 0;
+	}
+
+	pCascade = (CvHaarClassifierCascade *)cvLoad( haarCascadePath, 0, 0, 0 );
+	if( !pCascade )
+	{
+		fprintf(stderr, "Can\'t load Haar classifier cascade from\n"
+		                "   %s\n"
+		                "Please check that this is the correct path\n",
+						haarCascadePath);
+		return 0;
+	}
+
+	return 1;
+}
+
+
+//////////////////////////////////
+// closeFaceDet()
+//
+void closeFaceDet()
+{
+	if(pCascade) cvReleaseHaarClassifierCascade(&pCascade);
+	if(pStorage) cvReleaseMemStorage(&pStorage);
+}
+
+
+//////////////////////////////////
+// detectFace()
+//
+CvRect * detectFace(IplImage * pImg)
+{
+	CvRect* r = 0;
+
+	// detect faces in image
+	int minFaceSize = pImg->width / 5;
+	pFaceRectSeq = cvHaarDetectObjects
+		(pImg, pCascade, pStorage,
+		1.1,                       // increase search scale by 10% each pass
+		6,                         // require six neighbors
+		CV_HAAR_DO_CANNY_PRUNING,  // skip regions unlikely to contain a face
+		cvSize(minFaceSize, minFaceSize));
+
+	// if one or more faces are detected, return the first one
+	if( pFaceRectSeq && pFaceRectSeq->total )
+		r = (CvRect*)cvGetSeqElem(pFaceRectSeq, 0);
+
+	return r;
+}
+
+
+
Index: /proiecte/PPPP/eigenface/facedet.h
===================================================================
--- /proiecte/PPPP/eigenface/facedet.h	(revision 28)
+++ /proiecte/PPPP/eigenface/facedet.h	(revision 28)
@@ -0,0 +1,10 @@
+// facedet.h - by Robin Hewitt, 2007
+// http://www.cognotics.com/opencv/downloads/camshift_wrapper
+// This is free software. See License.txt, in the download
+// package, for details.
+//
+
+// Public interface for face detection
+int      initFaceDet(const char * haarCascadePath);
+void     closeFaceDet();
+CvRect * detectFace(IplImage * pImg);
Index: /proiecte/PPPP/eigenface/s1/1.pgm
===================================================================
--- /proiecte/PPPP/eigenface/s1/1.pgm	(revision 28)
+++ /proiecte/PPPP/eigenface/s1/1.pgm	(revision 28)
@@ -0,0 +1,76 @@
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Index: /proiecte/PPPP/eigenface/s1/3.pgm
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--- /proiecte/PPPP/eigenface/s1/3.pgm	(revision 28)
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--- /proiecte/PPPP/eigenface/s1/4.pgm	(revision 28)
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Index: /proiecte/PPPP/eigenface/s2/1.pgm
===================================================================
--- /proiecte/PPPP/eigenface/s2/1.pgm	(revision 28)
+++ /proiecte/PPPP/eigenface/s2/1.pgm	(revision 28)
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+
+	
+
+
+
+"&('%$!"&-269:<=;:975320..++*,*))+++-/0368:<>?ACEHGFEDC@?>5 
Index: /proiecte/PPPP/eigenface/test.txt
===================================================================
--- /proiecte/PPPP/eigenface/test.txt	(revision 28)
+++ /proiecte/PPPP/eigenface/test.txt	(revision 28)
@@ -0,0 +1,2 @@
+s1/1.pgm
+s2/1.pgm
Index: /proiecte/PPPP/eigenface/train.txt
===================================================================
--- /proiecte/PPPP/eigenface/train.txt	(revision 28)
+++ /proiecte/PPPP/eigenface/train.txt	(revision 28)
@@ -0,0 +1,2 @@
+1 s1/5.pgm
+2 s2/1.pgm
