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@ -396,7 +396,7 @@ and a rotation matrix. |
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It optionally returns three rotation matrices, one for each axis, and the three Euler angles in |
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degrees (as the return value) that could be used in OpenGL. Note, there is always more than one |
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sequence of rotations about the three principal axes that results in the same orientation of an |
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object, eg. see @cite Slabaugh . Returned tree rotation matrices and corresponding three Euler angles |
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object, e.g. see @cite Slabaugh . Returned tree rotation matrices and corresponding three Euler angles |
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are only one of the possible solutions. |
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*/ |
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CV_EXPORTS_W Vec3d RQDecomp3x3( InputArray src, OutputArray mtxR, OutputArray mtxQ, |
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@ -421,8 +421,8 @@ matrix and the position of a camera. |
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It optionally returns three rotation matrices, one for each axis, and three Euler angles that could |
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be used in OpenGL. Note, there is always more than one sequence of rotations about the three |
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principal axes that results in the same orientation of an object, eg. see @cite Slabaugh . Returned |
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tree rotation matrices and corresponding three Euler angules are only one of the possible solutions. |
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principal axes that results in the same orientation of an object, e.g. see @cite Slabaugh . Returned |
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tree rotation matrices and corresponding three Euler angles are only one of the possible solutions. |
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The function is based on RQDecomp3x3 . |
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*/ |
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@ -1260,7 +1260,7 @@ best fit a subset of the source image (determined by alpha) to the corrected ima |
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The function computes and returns the optimal new camera matrix based on the free scaling parameter. |
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By varying this parameter, you may retrieve only sensible pixels alpha=0 , keep all the original |
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image pixels if there is valuable information in the corners alpha=1 , or get something in between. |
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When alpha\>0 , the undistortion result is likely to have some black pixels corresponding to |
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When alpha\>0 , the undistorted result is likely to have some black pixels corresponding to |
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"virtual" pixels outside of the captured distorted image. The original camera matrix, distortion |
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coefficients, the computed new camera matrix, and newImageSize should be passed to |
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initUndistortRectifyMap to produce the maps for remap . |
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@ -1456,7 +1456,7 @@ floating-point (single or double precision). |
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Note that this function assumes that points1 and points2 are feature points from cameras with the |
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same camera matrix. |
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@param R Recovered relative rotation. |
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@param t Recoverd relative translation. |
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@param t Recovered relative translation. |
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@param mask Input/output mask for inliers in points1 and points2. |
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: If it is not empty, then it marks inliers in points1 and points2 for then given essential |
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matrix E. Only these inliers will be used to recover pose. In the output mask only inliers |
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@ -1499,7 +1499,7 @@ CV_EXPORTS_W int recoverPose( InputArray E, InputArray points1, InputArray point |
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floating-point (single or double precision). |
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@param points2 Array of the second image points of the same size and format as points1 . |
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@param R Recovered relative rotation. |
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@param t Recoverd relative translation. |
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@param t Recovered relative translation. |
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@param focal Focal length of the camera. Note that this function assumes that points1 and points2 |
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are feature points from cameras with same focal length and principal point. |
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@param pp principal point of the camera. |
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@ -1532,7 +1532,7 @@ floating-point (single or double precision). |
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Note that this function assumes that points1 and points2 are feature points from cameras with the |
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same camera matrix. |
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@param R Recovered relative rotation. |
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@param t Recoverd relative translation. |
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@param t Recovered relative translation. |
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@param distanceThresh threshold distance which is used to filter out far away points (i.e. infinite points). |
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@param mask Input/output mask for inliers in points1 and points2. |
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: If it is not empty, then it marks inliers in points1 and points2 for then given essential |
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