该代码用于运动跟踪。它跟踪 2 张图像的不同点。但是，每次调用该函数时，内存大小都会增加很多。我知道这可能与 cvPoints 有关。有什么好的方法来解决它？谢谢
float calcorient(IplImage *imgA, IplImage *imgB) {
// Initialize, load two images from the file system, and
// allocate the images and other structures we will need for
// results.
//
const int MAX_CORNERS = 500;
CvSize img_sz = cvGetSize( imgA );
int win_size = 10;
IplImage* imgC = cvCreateImage( img_sz, IPL_DEPTH_32F, 3 );
// The first thing we need to do is get the features
// we want to track.
//
IplImage* eig_image = cvCreateImage( img_sz, IPL_DEPTH_32F, 1 );
IplImage* tmp_image = cvCreateImage( img_sz, IPL_DEPTH_32F, 1 );
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, 1 );
IplImage* pyrB = cvCreateImage( pyr_sz, IPL_DEPTH_32F, 1 );
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:
//
float sum=0;
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");
sum+=cornersA[i].x-cornersB[i].x;
//printf("%f\n",sum);
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(1);
return sum;
}