基于opencv模板匹配的人脸识别

//Template matching //Usage:matchTemplate image template /* #include <cv.h> #include <cxcore.h> #include <highgui.h> #include <stdio.h> int main(int argc,char** argv){ IplImage *src = cvLoadImage("src.png",1); IplImage *temp1 = cvLoadImage("temp.png",1); IplImage *ftmp[6];//ftmp will hold results int i; //ALLOCATE OUTPUT IMAGES: int iwidth = src->width - temp1->width +1; int iheight = src->height - temp1->height +1; for(i=0;i<6;++i){ ftmp[i] = cvCreateImage(cvSize(iwidth,iheight),32,1); } //DO THE MATCHING OF THE TEMPLATE WITH THE IAMGE: for(i=0;i<6;++i){ cvMatchTemplate(src,temp1,ftmp[i],i); cvNormalize(ftmp[i],ftmp[i],1,0,CV_MINMAX); } //DISPLAY cvNamedWindow("Template",0); cvShowImage("Template",temp1); cvNamedWindow("Image",0); cvShowImage("Image",src); cvNamedWindow("SQDIFF",0); cvShowImage("SQDIFF",ftmp[0]); cvNamedWindow("SQDIFF_NORMED",0); cvShowImage("SQDIFF_NORMED",ftmp[1]); cvNamedWindow("CCORR",0); cvShowImage("CCORR",ftmp[2]); cvNamedWindow("CCORR_NORMED",0); cvShowImage("CCORR_NORMED",ftmp[3]); cvNamedWindow("CCOEFF",0); cvShowImage("CCOEFF",ftmp[4]); cvNamedWindow("CCOEFF_NORMED",0); cvShowImage("CCOEFF_NORMED",ftmp[5]); //LET USER VIEW RESULTS: cvWaitKey(0); } */ //单目标匹配 #include <iostream> #include "cv.h" #include "cxcore.h" #include "highgui.h" using namespace std; int main() { IplImage *src = cvLoadImage("2.png", 0); IplImage *srcResult = cvLoadImage("2.png", 3); //用来显示 IplImage *templat = cvLoadImage("temp1.png", 0); IplImage *result; if(!src || !templat) { cout << "打开图像失败"<< endl; return 0; } int srcW, srcH, templatW, templatH, resultH, resultW; srcW = src->width; srcH = src->height; templatW = templat->width; templatH = templat->height; if(srcW < templatW || srcH < templatH) { cout <<"模板必须比原图像小" << endl; return 0; } resultW = srcW - templatW + 1; resultH = srcH - templatH + 1; result = cvCreateImage(cvSize(resultW, resultH), 32, 1); cvMatchTemplate(src, templat, result, CV_TM_SQDIFF); double minValue, maxValue; CvPoint minLoc, maxLoc; cvMinMaxLoc(result, &minValue, &maxValue, &minLoc, &maxLoc); cvRectangle(srcResult, minLoc, cvPoint(minLoc.x + templatW, minLoc.y+ templatH), cvScalar(0,0,255)); cvNamedWindow("srcResult", CV_WINDOW_AUTOSIZE); cvNamedWindow("templat", CV_WINDOW_AUTOSIZE); cvShowImage("srcResult", srcResult); cvShowImage("templat", templat); cvWaitKey(0); cvReleaseImage(&result); cvReleaseImage(&templat); cvReleaseImage(&srcResult); cvReleaseImage(&src); return 0; } //多目标匹配 /* #include <iostream> #include "cv.h" #include "cxcore.h" #include "highgui.h" using namespace std; CvPoint getNextMinLoc(IplImage *result, CvPoint minLoc, int maxVaule, int templatW, int templatH) { // 先将第一个最小值点附近两倍模板宽度和高度的都设置为最大值防止产生干扰 int startX = minLoc.x - templatW; int startY = minLoc.y - templatH; int endX = minLoc.x + templatW; int endY = minLoc.y + templatH; if(startX < 0 || startY < 0) { startX = 0; startY = 0; } if(endX > result->width - 1 || endY > result->height - 1) { endX = result->width - 1; endY = result->height - 1; } int y, x; for(y = startY; y < endY; y++) { for(x = startX; x < endX; x++) { cvSetReal2D(result, y, x, maxVaule); } } // 然后得到下一个最小值并且返回 double new_minVaule, new_maxValue; CvPoint new_minLoc, new_maxLoc; cvMinMaxLoc(result, &new_minVaule, &new_maxValue, &new_minLoc, &new_maxLoc); return new_minLoc; } int main() { IplImage *src = cvLoadImage("src.png", 0); IplImage *srcResult = cvLoadImage("src.png", 3); //用来显示 IplImage *templat = cvLoadImage("temp.png", 0); IplImage *result; // 用来存放结果 if(!src || !templat) { cout << "打开图片失败" << endl; return 0; } int srcW, srcH, templatW, templatH, resultH, resultW; srcW = src->width; srcH = src->height; templatW = templat->width; templatH = templat->height; if(srcW < templatW || srcH < templatH) { cout << "模板不能比原图小" << endl; return 0; } resultW = srcW - templatW + 1; resultH = srcH - templatH + 1; result = cvCreateImage(cvSize(resultW, resultH), 32, 1); // 匹配方法计算的结果最小值为float cvMatchTemplate(src, templat, result, CV_TM_SQDIFF); double minValue, maxValue; CvPoint minLoc, maxLoc; cvMinMaxLoc(result, &minValue, &maxValue, &minLoc, &maxLoc); cvRectangle(srcResult, minLoc, cvPoint(minLoc.x + templatW, minLoc.y+ templatH), cvScalar(0,0,255)); CvPoint new_minLoc; // 计算下一个最小值 new_minLoc = getNextMinLoc(result, minLoc, maxValue, templatW, templatH); cvRectangle(srcResult, new_minLoc, cvPoint(new_minLoc.x + templatW, new_minLoc.y+ templatH), cvScalar(0,0,255)); // 再下一个 new_minLoc = getNextMinLoc(result, new_minLoc, maxValue, templatW, templatH); cvRectangle(srcResult, new_minLoc, cvPoint(new_minLoc.x + templatW, new_minLoc.y+ templatH), cvScalar(0,0,255)); //再下一个 new_minLoc = getNextMinLoc(result, minLoc, maxValue, templatW, templatH); cvRectangle(srcResult, new_minLoc, cvPoint(new_minLoc.x + templatW, new_minLoc.y+ templatH), cvScalar(0,0,255)); // 再下一个 new_minLoc = getNextMinLoc(result, new_minLoc, maxValue, templatW, templatH); cvRectangle(srcResult, new_minLoc, cvPoint(new_minLoc.x + templatW, new_minLoc.y+ templatH), cvScalar(0,0,255)); // 再下一个 new_minLoc = getNextMinLoc(result, new_minLoc, maxValue, templatW, templatH); cvRectangle(srcResult, new_minLoc, cvPoint(new_minLoc.x + templatW, new_minLoc.y+ templatH), cvScalar(0,0,255)); // 再下一个 new_minLoc = getNextMinLoc(result, new_minLoc, maxValue, templatW, templatH); cvRectangle(srcResult, new_minLoc, cvPoint(new_minLoc.x + templatW, new_minLoc.y+ templatH), cvScalar(0,0,255)); // 再下一个 new_minLoc = getNextMinLoc(result, new_minLoc, maxValue, templatW, templatH); cvRectangle(srcResult, new_minLoc, cvPoint(new_minLoc.x + templatW, new_minLoc.y+ templatH), cvScalar(0,0,255)); cvNamedWindow("srcResult", 0); cvNamedWindow("templat", 0); cvShowImage("srcResult", srcResult); cvShowImage("templat", templat); cvWaitKey(0); cvReleaseImage(&result); cvReleaseImage(&templat); cvReleaseImage(&srcResult); cvReleaseImage(&src); return 0; } */