光流法 HS与LK

时间:2025-02-14 14:57:42
  • #include ""
  • #include ""
  • #include ""
  • #include ""
  • const int MAX_CORNERS = 500;
  • int main(int argc, char** argv) {
  • // Initialize, load two images from the file system, and
  • // allocate the images and other structures we will need for
  • // results.
  • //IplImage* imgA = cvLoadImage("",CV_LOAD_IMAGE_GRAYSCALE);
  • //IplImage* imgB = cvLoadImage("",CV_LOAD_IMAGE_GRAYSCALE);
  • IplImage* imgA = cvLoadImage("",CV_LOAD_IMAGE_GRAYSCALE);
  • IplImage* imgB = cvLoadImage("",CV_LOAD_IMAGE_GRAYSCALE);
  • //IplImage* imgA = cvLoadImage("",CV_LOAD_IMAGE_GRAYSCALE);
  • //IplImage* imgB = cvLoadImage("",CV_LOAD_IMAGE_GRAYSCALE);
  • CvSize img_sz = cvGetSize( imgA );
  • int win_size = 10;
  • //IplImage* imgC = cvLoadImage("",CV_LOAD_IMAGE_UNCHANGED);
  • IplImage* imgC = cvLoadImage("",CV_LOAD_IMAGE_UNCHANGED);
  • //IplImage* imgC = cvLoadImage("",CV_LOAD_IMAGE_UNCHANGED);
  • // The first thing we need to do is get the features
  • // we want to track.
  • //
  • IplImage* eig_image = cvCreateImage( img_sz, IPL_DEPTH_32F, 3 );
  • IplImage* tmp_image = cvCreateImage( img_sz, IPL_DEPTH_32F, 3 );
  • int corner_count = MAX_CORNERS;
  • CvPoint2D32f* cornersA = new CvPoint2D32f[ MAX_CORNERS ];
  • cvGoodFeaturesToTrack(
  • imgA,
  • eig_image,
  • tmp_image,
  • cornersA,
  • &corner_count,
  • 0.01,
  • 5.0,
  • 0,
  • 3,
  • 0,
  • 0.04
  • );
  • cvFindCornerSubPix(
  • imgA,
  • cornersA,
  • corner_count,
  • cvSize(win_size,win_size),
  • cvSize(-1,-1),
  • cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03)
  • );
  • // Call the Lucas Kanade algorithm
  • //
  • char features_found[ MAX_CORNERS ];
  • float feature_errors[ MAX_CORNERS ];
  • CvSize pyr_sz = cvSize( imgA->width+8, imgB->height/3 );
  • IplImage* pyrA = cvCreateImage( pyr_sz, IPL_DEPTH_32F,3 );
  • IplImage* pyrB = cvCreateImage( pyr_sz, IPL_DEPTH_32F,3 );
  • CvPoint2D32f* cornersB = new CvPoint2D32f[ MAX_CORNERS ];
  • cvCalcOpticalFlowPyrLK(
  • imgA,
  • imgB,
  • pyrA,
  • pyrB,
  • cornersA,
  • cornersB,
  • corner_count,
  • cvSize( win_size,win_size ),
  • 5,
  • features_found,
  • feature_errors,
  • cvTermCriteria( CV_TERMCRIT_ITER | CV_TERMCRIT_EPS, 20, .3 ),
  • 0
  • );
  • // Now make some image of what we are looking at:
  • //
  • for( int i=0; i<corner_count; i++ ) {
  • if( features_found[i]==0|| feature_errors[i]>550 ) {
  • // printf("Error is %f/n",feature_errors[i]);
  • continue;
  • }
  • // printf("Got it/n");
  • CvPoint p0 = cvPoint(
  • cvRound( cornersA[i].x ),
  • cvRound( cornersA[i].y )
  • );
  • CvPoint p1 = cvPoint(
  • cvRound( cornersB[i].x ),
  • cvRound( cornersB[i].y )
  • );
  • cvLine( imgC, p0, p1, CV_RGB(255,0,0),2 );
  • }
  • cvNamedWindow("ImageA",0);
  • cvNamedWindow("ImageB",0);
  • cvNamedWindow("LKpyr_OpticalFlow",0);
  • cvShowImage("ImageA",imgA);
  • cvShowImage("ImageB",imgB);
  • cvShowImage("LKpyr_OpticalFlow",imgC);
  • cvWaitKey(0);
  • return 0;
  • }