实质是通过JNI调到OPENCV的DLL，javacv相当于接口而已
首先看下软件的效果
由上可知 ,环境对识别率影响很大，超人前传里的一段视频一直都低甚至会出错，而CCTV的新闻的识别率则挺高。人脸识别过程（主要方法） public boolean recognizeFromCam() throws Exception //从摄像头中识别人脸 {OpenCVFrameGrabber grabber = null;FileDialog fd;IplImage pFrame=null;int keypress = 0;int count=0;if(LoginShell.video_flag)//如果被选，，则用视频文件{fd=new FileDialog(LoginShell.sShell,SWT.OPEN);fd.setFilterExtensions(new String[]{"*.*"});fd.setFilterNames(new String[]{".avi",".wmv",".mp4"});String filename=fd.open();grabber = OpenCVFrameGrabber.createDefault(filename);}elsegrabber = OpenCVFrameGrabber.createDefault(0);grabber.start();pFrame = grabber.grab();while( pFrame!=null ){//if(count==6){detectAndCropAndPre( pFrame,cascade,CV_HAAR_DO_CANNY_PRUNING | CV_HAAR_DO_ROUGH_SEARCH);//count=0;//}cvShowImage("Press ‘Esc’ to Stop!",pFrame);pFrame = grabber.grab();keypress=cvWaitKey(24);System.out.println(g_confidence);grabber.getTimeout();if( keypress== 27){grabber.release();cvDestroyWindow("Press ‘Esc’ to Stop!");break;}//count++;}cvReleaseImage(pFrame);//cvDestroyWindow("BP_FaceRecognizer_FaceLogin");cvClearMemStorage(storage);// grabber.stop();grabber.release();return false; } public void recongizeFormImage(String filePath,String fileNames[]){//从图片中识别人脸IplImage signleImage=null;//System.out.println(filePath);//signleImage=cvLoadImage(filePath);//if(!signleImage.isNull());detectAndCropFromImg(cascade,CV_HAAR_DO_CANNY_PRUNING | CV_HAAR_DO_ROUGH_SEARCH,fileNames,filePath);//cvNamedWindow("Press ‘Esc’ to exit");}
private void detectForRegister(IplImage src,CvHaarClassifierCascade cascade,int flag,String name){//从摄像头获取五张人脸注册 IplImage greyImg=null; IplImage faceImg=null; IplImage sizedImg=null; IplImage equalizedImg=null; //int countForResgister=0;//for pause to rejust facial expressionCvRect r ; CvFont font = new CvFont(CV_FONT_HERSHEY_COMPLEX_SMALL, 1, 1); cvInitFont(font,CV_FONT_HERSHEY_COMPLEX_SMALL, 1.0, 0.8,1,1,CV_AA); greyImg = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1 );greyImg=convertImageToGreyscale(src);//CvMemStorage storage = CvMemStorage.create();CvSeq sign = cvHaarDetectObjects(greyImg,cascade,storage,1.1,3,flag);cvClearMemStorage(storage);if(sign.total()==1)//只会有一个脸部{r = new CvRect(cvGetSeqElem(sign, 0));faceImg = cropImage(greyImg, r);sizedImg = resizeImage(faceImg);equalizedImg = cvCreateImage(cvGetSize(sizedImg), 8, 1);cvEqualizeHist(sizedImg, equalizedImg);cvRectangle (src,cvPoint(r.x(), r.y()),cvPoint(r.width() + r.x(), r.height() + r.y()),CvScalar.WHITE,1,CV_AA,0);cvPutText(src, "Need 5 photos" ,cvPoint(r.x()+30, r.y()- 50), font, CvScalar.GREEN);cvPutText(src, "This is No."+String.valueOf(countSavedFace)+" photos. " ,cvPoint(r.x()+30, r.y()- 30), font, CvScalar.GREEN);if(countForResgister==10){cvSaveImage("img\\"+name+countSavedFace+".jpg",equalizedImg);countSavedFace++;countForResgister=0;cvWaitKey(800);}countForResgister++;cvReleaseImage(greyImg);cvReleaseImage(faceImg);cvReleaseImage(sizedImg);cvReleaseImage(equalizedImg);}private void detectAndCropAndPre(IplImage src,CvHaarClassifierCascade cascade,int flag)//从一帧图像中获取脸部并识别 {int nearest=0;IplImage greyImg=null;IplImage faceImg=null;IplImage sizedImg=null;IplImage equalizedImg=null;boolean faceIsTrue=false;CvRect r ;CvFont font = new CvFont(CV_FONT_HERSHEY_COMPLEX_SMALL, 1, 1);cvInitFont(font,CV_FONT_HERSHEY_COMPLEX_SMALL, 1.0, 0.8,1,1,CV_AA);greyImg = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1 );greyImg=convertImageToGreyscale(src);//CvMemStorage storage = CvMemStorage.create();CvSeq sign = cvHaarDetectObjects(greyImg,cascade,storage,1.5,3,flag);//cvClearMemStorage(storage);if(sign.total()>0){for(int i=0;i<sign.total();i++){r = new CvRect(cvGetSeqElem(sign, i));faceImg = cropImage(greyImg, r);sizedImg = resizeImage(faceImg);if(i==0)equalizedImg = cvCreateImage(cvGetSize(sizedImg), 8, 1);cvEqualizeHist(sizedImg, equalizedImg);cvRectangle (src,cvPoint(r.x(), r.y()),cvPoint(r.width() + r.x(), r.height() + r.y()),CvScalar.WHITE,1,CV_AA,0);eigenDecomImg(equalizedImg);if(g_confidence*100>50){cvPutText(src, textName,cvPoint(r.x()-10, r.y() + r.height() + 20), font, CvScalar.WHITE);cvPutText(src, " conf="+Integer.valueOf((int) (g_confidence*100))+"%",cvPoint(r.x()-10, r.y() + r.height() + 40), font, CvScalar.GREEN);textName="unknow";}else {cvPutText(src, "unknow",cvPoint(r.x()-10, r.y() + r.height() + 20), font, CvScalar.WHITE);cvPutText(src, " conf="+Integer.valueOf((int) (g_confidence*100))+"%",cvPoint(r.x()-10, r.y() + r.height() + 40), font, CvScalar.GREEN);}}cvReleaseImage(greyImg);cvReleaseImage(faceImg);cvReleaseImage(sizedImg);cvReleaseImage(equalizedImg);}} private void detectAndCropFromImg(CvHaarClassifierCascade cascade,int flag,String fileNames[],String filePath) {CvRect r ;CvFont font = new CvFont(CV_FONT_HERSHEY_COMPLEX_SMALL, 1, 1);cvInitFont(font,CV_FONT_HERSHEY_COMPLEX_SMALL, 1.0, 0.8,1,1,CV_AA);int fileNum=0;fileNum=fileNames.length;IplImage src[]=new IplImage[fileNum];IplImage tempImg[]=new IplImage[fileNum];IplImage greyImg[]=new IplImage[fileNum];IplImage faceImg[]=new IplImage[fileNum];IplImage sizedImg[]=new IplImage[fileNum];IplImage equalizedImg[]=new IplImage[fileNum];for(int i=0;i<fileNum;i++){System.out.println(filePath+fileNames[i]);src[i]=cvLoadImage(filePath+fileNames[i]);if(src[i].width()>3200||src[i].height()>2400){tempImg[i] = cvCreateImage(new CvSize(src[i].width()/4,src[i].height()/4), IPL_DEPTH_8U, 1 );tempImg[i]=resizeImage(src[i],src[i].width()/4,src[i].height()/4);}else if(src[i].width()>1600||src[i].height()>1200){tempImg[i] = cvCreateImage(new CvSize(src[i].width()/2,src[i].height()/2), IPL_DEPTH_8U, 1 );tempImg[i]=resizeImage(src[i],src[i].width()/2,src[i].height()/2);}else{tempImg[i] = cvCreateImage(new CvSize(src[i].width(),src[i].height()), IPL_DEPTH_8U, 1 );tempImg[i]=cvCloneImage(src[i]);}greyImg[i] = cvCreateImage( cvGetSize(tempImg[i]), IPL_DEPTH_8U, 1 );greyImg[i]=convertImageToGreyscale(tempImg[i]);//CvMemStorage storage = CvMemStorage.create();CvSeq sign = cvHaarDetectObjects(greyImg[i],cascade,storage,1.2,3,flag);if(sign.total()>0){for(int j=0;j<sign.total();j++){r = new CvRect(cvGetSeqElem(sign, j));if(j==0){faceImg[i]=cvCreateImage(new CvSize(r.width(),r.height()), IPL_DEPTH_8U, 1);sizedImg[i]=cvCreateImage(new CvSize(newWidth,newHeight), IPL_DEPTH_8U, 1);equalizedImg[i] = cvCreateImage(cvGetSize(sizedImg[i]), IPL_DEPTH_8U, 1);}faceImg[i] = cropImage(greyImg[i], r);sizedImg[i] = resizeImage(faceImg[i]);cvEqualizeHist(sizedImg[i], equalizedImg[i]);cvRectangle (tempImg[i],cvPoint(r.x(), r.y()),cvPoint(r.width() + r.x(), r.height() + r.y()),CvScalar.WHITE,1,CV_AA,0);eigenDecomImg(equalizedImg[i]);if(g_confidence*100>50){cvPutText(tempImg[i], textName,cvPoint(r.x()-10, r.y() + r.height() + 20), font, CvScalar.WHITE);cvPutText(tempImg[i], " conf="+Integer.valueOf((int) (g_confidence*100))+"%",cvPoint(r.x()-10, r.y() + r.height() + 40), font, CvScalar.GREEN);textName="unknow";}else{cvPutText(tempImg[i], "Unknow",cvPoint(r.x()-10, r.y() + r.height() + 20), font, CvScalar.WHITE);cvPutText(tempImg[i], " conf="+Integer.valueOf((int) (g_confidence*100))+"%",cvPoint(r.x()-10, r.y() + r.height() + 40), font, CvScalar.GREEN);}}cvReleaseImage(faceImg[i]);cvReleaseImage(sizedImg[i]);cvReleaseImage(equalizedImg[i]);}elsecvPutText(tempImg[i], "can’t find any face!",cvPoint(src[i].width()/2, src[i].height()/2), font, CvScalar.GREEN);cvReleaseImage(greyImg[i]);cvReleaseImage(src[i]);cvShowImage("Press ‘Esc’ to exit "+filePath+fileNames[i],tempImg[i]);cvReleaseImage(tempImg[i]);}cvWaitKey(0);cvClearMemStorage(storage);cvDestroyAllWindows();}遇见你，是我一生的幸运;爱上你，
