opencv,image-processing,3d,camera-calibration , Finding 3D coordinate of object

Finding 3D coordinate of object


Tag: opencv,image-processing,3d,camera-calibration

I try to find 3D coordinate (in world )of abject that I know his coordinate in image .so after some research in internet I succed to find X and Y cordinate. but I can't find Z

that is my program in openCV

  void drawAndCalcul3D(int x,int y,Mat& frame)
cv::Mat uvPoint = cv::Mat::ones(3,1,cv::DataType<double>::type);<double>(0,0) = x; //got this point using mouse callback<double>(1,0) = y;

std::vector<cv::Point2f> imagePoints;
std::vector<cv::Point3f> objectPoints;
cv::Mat rotationMatrix(3,3,cv::DataType<double>::type);
Mat cameraMatrix(3,3,DataType<double>::type);
  setIdentity(cameraMatrix);<double>(0,0)=493.415; //my Camera matrix<double>(0,1)=0;<double>(0,2)=319.5;<double>(1,0)=0;<double>(1,1)=493.415;<double>(1,2)=179.5;<double>(2,0)=0;<double>(2,1)=0;<double>(2,2)=1;
// extrinsic parameters rvec and tvect : rotation and translation matrix
Mat rvec(3,1,cv::DataType<double>::type);<double>(0)=-0.1408;<double>(1)=3.011;<double>(2)=-0.171147;
cv::Mat tvec(3,1,cv::DataType<double>::type);<double>(0)=15.84;<double>(1)=-64.67;<double>(2)=274.584;

cv::Mat tempMat, tempMat2;
double s;
tempMat = rotationMatrix.inv() * cameraMatrix.inv() * uvPoint;
tempMat2 = rotationMatrix.inv() * tvec;
s<double>(2,0); //12 represents the height Zconst
s /=<double>(2,0);
Mat exp=rotationMatrix.inv() * (s * cameraMatrix.inv() * uvPoint - tvec);
cv::putText(frame,intToString(<double>(0))+ " , " + intToString(<double>(1))+ " , " + intToString(<double>(2)),cv::Point(x,y+20),2,1,Scalar(0,255,0));

can any one know how can I find the depth of object (Z) ?

I use the same program her Computing x,y coordinate (3D) from image point I don't know how I can change it to find Z when it's not constant


x, y image point only determines a ray from the camera centers through the image point. It has infinite number of possible z and when you multiply images point with inverse matrices you will get an equation of a ray or a line. It is impossible to get 3D from a single image point using a single camera. Unless of course you make some strong assumptions such as object shape or size or use extra knowledge such as monocular cues. Examples of such cues are blur/focus, brightness/shading, texture size, familiar size of other objects nearby, etc.

Another example - if you know an equation of the plane where the object lies you can intersect this plane with the ray and arrive at a unique 3D point. Still another example, say, you use an accelerometer in a cell phone which gives you an angle where camera looks relative to the gravity vector. You also know the approximate height at which you hold a cell phone (1.5m above the ground). Than you can easily calculates 3D points on the ground as intersection of your rays with known plane, see below. The formula gives Z for the point in the center of the image. For other points you have to add extra angle formed by off-center pixels. This will allow you to completely restore 3D of the ground plane.

enter image description here


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