从摄像头中检测脸并保存图像

来源：互联网发布：OVI浏览器java 编辑：程序博客网时间：2024/06/05 19:38

改写自：http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html

 #include "opencv2/objdetect/objdetect.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include <iostream> #include <stdio.h> using namespace std; using namespace cv; /** Function Headers */ void detectAndDisplay( Mat frame ); /** Global variables */ String face_cascade_name = "haarcascade_frontalface_alt.xml"; CascadeClassifier face_cascade; string window_name = "Capture - Face detection"; /** @function main */ int main( int argc, const char** argv ) {   CvCapture* capture;   Mat frame;   //-- 1. Load the cascades   if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };   //-- 2. Read the video stream   capture = cvCaptureFromCAM( -1 );   if( capture )   {     while( true )     {   frame = cvQueryFrame( capture );   //-- 3. Apply the classifier to the frame       if( !frame.empty() )       {    detectAndDisplay( frame );    }       else       { printf(" --(!) No captured frame -- Break!"); break; }       int c = waitKey(10);       if( (char)c == 'c' ) {    break;    }      }   }   return 0; }/** @function detectAndDisplay */void detectAndDisplay( Mat frame ){  static int index = 0;  char image_name[256];  std::vector<Rect> faces;  Mat frame_gray;  cvtColor( frame, frame_gray, CV_BGR2GRAY );  equalizeHist( frame_gray, frame_gray );  //-- Detect faces  face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );  for( size_t i = 0; i < faces.size(); i++ )  {    Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );rectangle(frame, faces[i], CV_RGB(0, 255,0), 1);Mat faceROI = frame_gray( faces[i] );sprintf(image_name, "frame%d_%d.jpg", index++, i);if(index <= 32){imwrite(image_name, faceROI);printf("frame %d write\n", index);}  }  //-- Show what you got  imshow( window_name, frame ); }

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