%PROJECTPOINTS  Projects 3D points to an image plane
%
%    imagePoints = cv.projectPoints(objectPoints, rvec, tvec, cameraMatrix, distCoeffs)
%    [imagePoints, jacobian] = cv.projectPoints(...)
%    [...] = cv.projectPoints(..., 'OptionName', optionValue, ...)
%
% ## Input
% * __objectPoints__ Array of object points, Nx1x3/1xNx3 array or cell array
%        of 3-element vectors, where N is the number of points in the view.
% * __rvec__ Rotation vector. See cv.Rodrigues for details.
% * __tvec__ Translation vector.
% * __cameraMatrix__ Camera matrix A = [fx,0,cx;0,fy,cy;0,0,1].
% * __distCoeffs__ Input vector of distortion coefficients [k1,k2,p1,p2,k3,
%        k4,k5,k6] of 4, 5, or 8 elements. If the vector is NULL/empty, the
%        zero distortion coefficients are assumed.
%
% ## Output
% * __imagePoints__ Output array of image points, Nx1x2/1xNx2 array or cell
%        array of 2-element vectors
% * __jacobian__ Optional output 2Nx(10+<numDistCoeffs>) jacobian matrix of
%        derivatives of image points with respect to components of the
%        rotation vector, translation vector, focal lengths, coordinates of
%        the principal point and the distortion coefficients.
%
% ## Options
% * __AspectRatio__ Optional "fixed aspect ratio" parameter. If the
%        parameter is not 0, the function assumes that the aspect ratio
%        (fx/fy) is fixed and correspondingly adjusts the jacobian matrix.
%        default 0.
%
% The function computes projections of 3D points to the image plane given
% intrinsic and extrinsic camera parameters. Optionally, the function
% computes Jacobians - matrices of partial derivatives of image points
% coordinates (as functions of all the input parameters) with respect to
% the particular parameters, intrinsic and/or extrinsic. The Jacobians are
% used during the global optimization in cv.calibrateCamera, cv.solvePnP,
% and cv.stereoCalibrate. The function itself can also be used to compute a
% re-projection error given the current intrinsic and extrinsic parameters.
%
% ## Note
% By setting rvec=tvec=(0,0,0) or by setting cameraMatrix to a 3x3
% identity matrix, or by passing zero distortion coefficients, you can get
% various useful partial cases of the function. This means that you can
% compute the distorted coordinates for a sparse set of points or apply a
% perspective transformation (and also compute the derivatives) in the
% ideal zero-distortion setup.
%
% See also cv.calibrateCamera cv.solvePnP cv.Rodrigues cv.stereoCalibrate
%