0

对于我的项目，我正在使用下一个代码的一部分：link。

为了跟踪特定颜色的对象，我实现了这个方法：

我的问题是：如何计算到被跟踪的彩色物体的距离？

先感谢您！

*应用程序调用左右帧的方法。这效率不高... **我需要计算检测到的Object.Zcor

DetectedObject Detect(IplImage *frame)
{
 //Track object (left frame and right frame)
 //Calculate average position
 //Show X,Y,Z coordinate and detected color

color_image = frame;

imgThreshold = cvCreateImage(cvSize(color_image->width,color_image->height), IPL_DEPTH_8U, 1);
cvInitFont(&font, CV_FONT_HERSHEY_PLAIN, 1, 1, 0, 1.4f, CV_AA);

imgdraw = cvCreateImage(cvGetSize(color_image),8,3);
cvSetZero(imgdraw);

cvFlip(color_image, color_image, 1);

cvSmooth(color_image, color_image, CV_GAUSSIAN, 3, 0);

threshold = getThreshold(color_image);
cvErode(threshold, threshold, NULL, 3);
cvDilate(threshold, threshold, NULL, 10);
imgThreshold = cvCloneImage(threshold);

storage = cvCreateMemStorage(0);
contours = cvCreateSeq(0, sizeof(CvSeq), sizeof(CvPoint), storage);
cvFindContours(threshold, storage, &contours, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE, cvPoint(0,0));
final = cvCreateImage(cvGetSize(color_image),8,3);

for(; contours!=0; contours = contours->h_next)
{
    CvRect rect = cvBoundingRect(contours, 0);  

    cvRectangle(color_image, 
        cvPoint(rect.x, rect.y),
        cvPoint(rect.x+rect.width, rect.y+rect.height),
        cvScalar(0,0,255,0),
        2,8,0);

    string s = to_string(rect.x) + "," +  to_string(rect.y);
    char const* pchar = s.c_str();

    cvPutText(frame, pchar, cvPoint(rect.x, rect.y), &font, cvScalar(0,0,255,0));
    detectedObject.Xcor = rect.x;
    detectedObject.Ycor = rect.y;
}

cvShowImage("Threshold", imgThreshold);

cvAdd(final,imgdraw,final);
detectedObject.Zcor = 0;
return detectedObject;

}

4

1 回答 1

0

对于深度估计，您将需要一个校准的立体对（左右相机的已知相机矩阵）。然后，使用立体对中的相机矩阵和对应的点/轮廓，您可以计算深度。

于 2013-08-14T10:19:33.067 回答