It optionally returns three rotation matrices, one for each axis, and the three Euler angles in
degrees (as the return value) that could be used in OpenGL. Note, there is always more than one
sequence of rotations about the three principal axes that results in the same orientation of an
-object, eg. see @cite Slabaugh . Returned tree rotation matrices and corresponding three Euler angles
+object, e.g. see @cite Slabaugh . Returned tree rotation matrices and corresponding three Euler angles
are only one of the possible solutions.
*/
CV_EXPORTS_W Vec3d RQDecomp3x3( InputArray src, OutputArray mtxR, OutputArray mtxQ,
It optionally returns three rotation matrices, one for each axis, and three Euler angles that could
be used in OpenGL. Note, there is always more than one sequence of rotations about the three
-principal axes that results in the same orientation of an object, eg. see @cite Slabaugh . Returned
-tree rotation matrices and corresponding three Euler angules are only one of the possible solutions.
+principal axes that results in the same orientation of an object, e.g. see @cite Slabaugh . Returned
+tree rotation matrices and corresponding three Euler angles are only one of the possible solutions.
The function is based on RQDecomp3x3 .
*/
@param threshold Optional threshold used to filter out the outliers. If the parameter is greater
than zero, all the point pairs that do not comply with the epipolar geometry (that is, the points
for which \f$|\texttt{points2[i]}^T*\texttt{F}*\texttt{points1[i]}|>\texttt{threshold}\f$ ) are
-rejected prior to computing the homographies. Otherwise,all the points are considered inliers.
+rejected prior to computing the homographies. Otherwise, all the points are considered inliers.
The function computes the rectification transformations without knowing intrinsic parameters of the
cameras and their relative position in the space, which explains the suffix "uncalibrated". Another
@param alpha Free scaling parameter between 0 (when all the pixels in the undistorted image are
valid) and 1 (when all the source image pixels are retained in the undistorted image). See
stereoRectify for details.
-@param newImgSize Image size after rectification. By default,it is set to imageSize .
+@param newImgSize Image size after rectification. By default, it is set to imageSize .
@param validPixROI Optional output rectangle that outlines all-good-pixels region in the
undistorted image. See roi1, roi2 description in stereoRectify .
@param centerPrincipalPoint Optional flag that indicates whether in the new camera matrix the
The function computes and returns the optimal new camera matrix based on the free scaling parameter.
By varying this parameter, you may retrieve only sensible pixels alpha=0 , keep all the original
image pixels if there is valuable information in the corners alpha=1 , or get something in between.
-When alpha\>0 , the undistortion result is likely to have some black pixels corresponding to
+When alpha\>0 , the undistorted result is likely to have some black pixels corresponding to
"virtual" pixels outside of the captured distorted image. The original camera matrix, distortion
coefficients, the computed new camera matrix, and newImageSize should be passed to
initUndistortRectifyMap to produce the maps for remap .
Note that this function assumes that points1 and points2 are feature points from cameras with the
same camera matrix.
@param R Recovered relative rotation.
-@param t Recoverd relative translation.
+@param t Recovered relative translation.
@param mask Input/output mask for inliers in points1 and points2.
: If it is not empty, then it marks inliers in points1 and points2 for then given essential
matrix E. Only these inliers will be used to recover pose. In the output mask only inliers
floating-point (single or double precision).
@param points2 Array of the second image points of the same size and format as points1 .
@param R Recovered relative rotation.
-@param t Recoverd relative translation.
+@param t Recovered relative translation.
@param focal Focal length of the camera. Note that this function assumes that points1 and points2
are feature points from cameras with same focal length and principal point.
@param pp principal point of the camera.
Note that this function assumes that points1 and points2 are feature points from cameras with the
same camera matrix.
@param R Recovered relative rotation.
-@param t Recoverd relative translation.
+@param t Recovered relative translation.
@param distanceThresh threshold distance which is used to filter out far away points (i.e. infinite points).
@param mask Input/output mask for inliers in points1 and points2.
: If it is not empty, then it marks inliers in points1 and points2 for then given essential
@param _sigma_scale Sigma for Gaussian filter. It is computed as sigma = _sigma_scale/_scale.
@param _quant Bound to the quantization error on the gradient norm.
@param _ang_th Gradient angle tolerance in degrees.
-@param _log_eps Detection threshold: -log10(NFA) \> log_eps. Used only when advancent refinement
+@param _log_eps Detection threshold: -log10(NFA) \> log_eps. Used only when advance refinement
is chosen.
@param _density_th Minimal density of aligned region points in the enclosing rectangle.
@param _n_bins Number of bins in pseudo-ordering of gradient modulus.
/** @brief Finds edges in an image using the Canny algorithm @cite Canny86 .
-The function finds edges in the input image image and marks them in the output map edges using the
+The function finds edges in the input image and marks them in the output map edges using the
Canny algorithm. The smallest value between threshold1 and threshold2 is used for edge linking. The
largest value is used to find initial segments of strong edges. See
<http://en.wikipedia.org/wiki/Canny_edge_detector>
corresponds to the "outliers" in the source image are not modified by the function.
@param borderValue Value used in case of a constant border. By default, it is 0.
@note
-Due to current implementaion limitations the size of an input and output images should be less than 32767x32767.
+Due to current implementation limitations the size of an input and output images should be less than 32767x32767.
*/
CV_EXPORTS_W void remap( InputArray src, OutputArray dst,
InputArray map1, InputArray map2,
@param rect1 First rectangle
@param rect2 Second rectangle
-@param intersectingRegion The output array of the verticies of the intersecting region. It returns
+@param intersectingRegion The output array of the vertices of the intersecting region. It returns
at most 8 vertices. Stored as std::vector\<cv::Point2f\> or cv::Mat as Mx1 of type CV_32FC2.
@returns One of cv::RectanglesIntersectTypes
*/
projects / platform / upstream / opencv.git / commitdiff