cvfinder.c

基于主成份分析（PCA）的人脸特征识别核心源程序。

/***
 **     libface - Library of face recognition and supporting algorithms
        Copyright (c) 2003 Stefan Farthofer

	This file is part of libface, which is

        free software; you can redistribute it and/or modify
        it under the terms of the GNU General Public License as published by
        the Free Software Foundation; either version 2 of the License, or
        (at your option) any later version.

        This program is distributed in the hope that it will be useful,
        but WITHOUT ANY WARRANTY; without even the implied warranty of
        MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
        GNU General Public License for more details.

        You should have received a copy of the GNU General Public License
        along with this program; if not, write to the Free Software
        Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

	For further information seek us at http://sourceforge.net/projects/openbio/
**	or write an email to [e-mail] or [e-mail].
***/

#include <IL/IL.h>
#include <IL/ILU.h>
#include <cv.h>
#include <cvaux.h>
#include "frbase.h"
#include "fr.h"

//this is the original training size of the used cascade, just
//copied from the examples
#define ORIG_WIN_SIZE 24

int cvFindFaces(FRimage* image, FRbox** boxes, unsigned int* nrBoxes) {
	IplImage* iplImg;
	CvMemStorage* storage;
	CvHidHaarClassifierCascade* hid_cascade = NULL;
	CvSize size;
	CvRect* r;
	CvSeq* faces;
	unsigned int i;
	ILuint img;
	unsigned char *imgdata;

	//load the default face cascade
    CvHaarClassifierCascade* cascade = cvLoadHaarClassifierCascade(
        "<default_face_cascade>",
        cvSize( ORIG_WIN_SIZE, ORIG_WIN_SIZE ));
    if( !cascade )
		return FR_ERR_OTHER;
	//create an optimized version and release the plain cascade, this
	//could be cached for a performance boost
    hid_cascade = cvCreateHidHaarClassifierCascade( cascade, 0,0,0,1);
    cvReleaseHaarClassifierCascade( &cascade );

	//create a storage area for the detection function
	storage = cvCreateMemStorage(0);

	//now create an ipl image
	size.height = image->height;
	size.width = image->width;
	iplImg = cvCreateImage(size,IPL_DEPTH_8U, 1);

	//convert back to 8bit channel data and get pointer to data
	frImgGetILImg(&img, image);
	imgdata = ilGetData();
	
	//fill image with data
	for (i = 0; i < image->height; i++) {
		memcpy(iplImg->imageData + (iplImg->widthStep * i),imgdata + i*image->width, image->width);
	}

	ilDeleteImages(1, &img);

	//now do the detection (copy code from sample)

        faces = cvHaarDetectObjects( iplImg, hid_cascade, storage,
                                            1.1, 2, CV_HAAR_DO_CANNY_PRUNING );
		*nrBoxes=faces->total;
		if (faces->total>0)
		{
			*boxes = (FRbox*)malloc(sizeof(FRbox)*faces->total);
			for( i = 0; i < (faces ? faces->total : (unsigned int)0); i++ )
			{
				r = (CvRect*)cvGetSeqElem( faces, i, 0 );

				(*boxes)[i].x1=(float)r->x;
				(*boxes)[i].y1=(float)r->y;
				(*boxes)[i].x2=(float)r->x;
				(*boxes)[i].y2=(float)(r->y+r->height);
				(*boxes)[i].x3=(float)(r->x+r->width);
				(*boxes)[i].y3=(float)(r->y+r->height);
				(*boxes)[i].x4=(float)(r->x+r->width);
				(*boxes)[i].y4=(float)r->y;
			}
		}


	cvReleaseImage(&iplImg);
	cvReleaseMemStorage(&storage);
	
	return FR_OK;
}