|
|
@ -1506,11 +1506,11 @@ CV_EXPORTS_W bool checkChessboard(InputArray img, Size size); |
|
|
|
( patternSize = cv::Size(points_per_row,points_per_colum) = cv::Size(columns,rows) ). |
|
|
|
( patternSize = cv::Size(points_per_row,points_per_colum) = cv::Size(columns,rows) ). |
|
|
|
@param corners Output array of detected corners. |
|
|
|
@param corners Output array of detected corners. |
|
|
|
@param flags Various operation flags that can be zero or a combination of the following values: |
|
|
|
@param flags Various operation flags that can be zero or a combination of the following values: |
|
|
|
- **CALIB_CB_NORMALIZE_IMAGE** Normalize the image gamma with equalizeHist before detection. |
|
|
|
- @ref CALIB_CB_NORMALIZE_IMAGE Normalize the image gamma with equalizeHist before detection. |
|
|
|
- **CALIB_CB_EXHAUSTIVE** Run an exhaustive search to improve detection rate. |
|
|
|
- @ref CALIB_CB_EXHAUSTIVE Run an exhaustive search to improve detection rate. |
|
|
|
- **CALIB_CB_ACCURACY** Up sample input image to improve sub-pixel accuracy due to aliasing effects. |
|
|
|
- @ref CALIB_CB_ACCURACY Up sample input image to improve sub-pixel accuracy due to aliasing effects. |
|
|
|
- **CALIB_CB_LARGER** The detected pattern is allowed to be larger than patternSize (see description). |
|
|
|
- @ref CALIB_CB_LARGER The detected pattern is allowed to be larger than patternSize (see description). |
|
|
|
- **CALIB_CB_MARKER** The detected pattern must have a marker (see description). |
|
|
|
- @ref CALIB_CB_MARKER The detected pattern must have a marker (see description). |
|
|
|
This should be used if an accurate camera calibration is required. |
|
|
|
This should be used if an accurate camera calibration is required. |
|
|
|
@param meta Optional output arrray of detected corners (CV_8UC1 and size = cv::Size(columns,rows)). |
|
|
|
@param meta Optional output arrray of detected corners (CV_8UC1 and size = cv::Size(columns,rows)). |
|
|
|
Each entry stands for one corner of the pattern and can have one of the following values: |
|
|
|
Each entry stands for one corner of the pattern and can have one of the following values: |
|
|
@ -1529,7 +1529,7 @@ Calibration" demonstrating that the returned sub-pixel positions are more |
|
|
|
accurate than the one returned by cornerSubPix allowing a precise camera |
|
|
|
accurate than the one returned by cornerSubPix allowing a precise camera |
|
|
|
calibration for demanding applications. |
|
|
|
calibration for demanding applications. |
|
|
|
|
|
|
|
|
|
|
|
In the case, the flags **CALIB_CB_LARGER** or **CALIB_CB_MARKER** are given, |
|
|
|
In the case, the flags @ref CALIB_CB_LARGER or @ref CALIB_CB_MARKER are given, |
|
|
|
the result can be recovered from the optional meta array. Both flags are |
|
|
|
the result can be recovered from the optional meta array. Both flags are |
|
|
|
helpful to use calibration patterns exceeding the field of view of the camera. |
|
|
|
helpful to use calibration patterns exceeding the field of view of the camera. |
|
|
|
These oversized patterns allow more accurate calibrations as corners can be |
|
|
|
These oversized patterns allow more accurate calibrations as corners can be |
|
|
@ -2763,8 +2763,8 @@ of 4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion |
|
|
|
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6[, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ |
|
|
|
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6[, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ |
|
|
|
of 4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are assumed. |
|
|
|
of 4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are assumed. |
|
|
|
@param method Method for computing an essential matrix. |
|
|
|
@param method Method for computing an essential matrix. |
|
|
|
- **RANSAC** for the RANSAC algorithm. |
|
|
|
- @ref RANSAC for the RANSAC algorithm. |
|
|
|
- **LMEDS** for the LMedS algorithm. |
|
|
|
- @ref LMEDS for the LMedS algorithm. |
|
|
|
@param prob Parameter used for the RANSAC or LMedS methods only. It specifies a desirable level of |
|
|
|
@param prob Parameter used for the RANSAC or LMedS methods only. It specifies a desirable level of |
|
|
|
confidence (probability) that the estimated matrix is correct. |
|
|
|
confidence (probability) that the estimated matrix is correct. |
|
|
|
@param threshold Parameter used for RANSAC. It is the maximum distance from a point to an epipolar |
|
|
|
@param threshold Parameter used for RANSAC. It is the maximum distance from a point to an epipolar |
|
|
|