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Merge pull request #7719 from paroj:calib_ret

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Alexander Alekhin 2016-11-25 09:22:07 +00:00
commit 7ad8e378ce
1 changed files with 3 additions and 3 deletions
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modules/calib3d/include/opencv2/calib3d.hpp
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@ -784,7 +784,7 @@ space, that is, a real position of the calibration pattern in the k-th pattern v
@param stdDeviationsExtrinsics Output vector of standard deviations estimated for extrinsic parameters.
Order of deviations values: \f$(R_1, T_1, \dotsc , R_M, T_M)\f$ where M is number of pattern views,
\f$R_i, T_i\f$ are concatenated 1x3 vectors.
@param perViewErrors Output vector of average re-projection errors estimated for each pattern view.
@param perViewErrors Output vector of the RMS re-projection error estimated for each pattern view.
@param flags Different flags that may be zero or a combination of the following values:
- **CV_CALIB_USE_INTRINSIC_GUESS** cameraMatrix contains valid initial values of
fx, fy, cx, cy that are optimized further. Otherwise, (cx, cy) is initially set to the image
@ -823,6 +823,8 @@ the optimization. If CV_CALIB_USE_INTRINSIC_GUESS is set, the coefficient from t
supplied distCoeffs matrix is used. Otherwise, it is set to 0.
@param criteria Termination criteria for the iterative optimization algorithm.
@return the overall RMS re-projection error.
The function estimates the intrinsic camera parameters and extrinsic parameters for each of the
views. The algorithm is based on @cite Zhang2000 and @cite BouguetMCT . The coordinates of 3D object
points and their corresponding 2D projections in each view must be specified. That may be achieved
@ -847,8 +849,6 @@ The algorithm performs the following steps:
the projected (using the current estimates for camera parameters and the poses) object points
objectPoints. See projectPoints for details.
The function returns the final re-projection error.
@note
If you use a non-square (=non-NxN) grid and findChessboardCorners for calibration, and
calibrateCamera returns bad values (zero distortion coefficients, an image center very far from