Merge pull request #3954 from martin-ueding:master
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@ -697,19 +697,19 @@ CV_EXPORTS_W bool findCirclesGrid( InputArray image, Size patternSize,
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/** @brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
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@param objectPoints In the new interface it is a vector of vectors of calibration pattern points
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in the calibration pattern coordinate space. The outer vector contains as many elements as the
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number of the pattern views. If the same calibration pattern is shown in each view and it is fully
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visible, all the vectors will be the same. Although, it is possible to use partially occluded
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patterns, or even different patterns in different views. Then, the vectors will be different. The
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points are 3D, but since they are in a pattern coordinate system, then, if the rig is planar, it
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may make sense to put the model to a XY coordinate plane so that Z-coordinate of each input object
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point is 0.
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@param objectPoints In the new interface it is a vector of vectors of calibration pattern points in
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the calibration pattern coordinate space (e.g. std::vector<std::vector<cv::Vec3f>>). The outer
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vector contains as many elements as the number of the pattern views. If the same calibration pattern
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is shown in each view and it is fully visible, all the vectors will be the same. Although, it is
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possible to use partially occluded patterns, or even different patterns in different views. Then,
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the vectors will be different. The points are 3D, but since they are in a pattern coordinate system,
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then, if the rig is planar, it may make sense to put the model to a XY coordinate plane so that
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Z-coordinate of each input object point is 0.
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In the old interface all the vectors of object points from different views are concatenated
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together.
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@param imagePoints In the new interface it is a vector of vectors of the projections of
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calibration pattern points. imagePoints.size() and objectPoints.size() and imagePoints[i].size()
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must be equal to objectPoints[i].size() for each i.
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@param imagePoints In the new interface it is a vector of vectors of the projections of calibration
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pattern points (e.g. std::vector<std::vector<cv::Vec2f>>). imagePoints.size() and
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objectPoints.size() and imagePoints[i].size() must be equal to objectPoints[i].size() for each i.
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In the old interface all the vectors of object points from different views are concatenated
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together.
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@param imageSize Size of the image used only to initialize the intrinsic camera matrix.
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@ -719,11 +719,11 @@ and/or CV_CALIB_FIX_ASPECT_RATIO are specified, some or all of fx, fy, cx, cy mu
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initialized before calling the function.
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@param distCoeffs Output vector of distortion coefficients
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\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6],[s_1, s_2, s_3, s_4]])\f$ of 4, 5, 8 or 12 elements.
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@param rvecs Output vector of rotation vectors (see Rodrigues ) estimated for each pattern view.
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That is, each k-th rotation vector together with the corresponding k-th translation vector (see
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the next output parameter description) brings the calibration pattern from the model coordinate
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space (in which object points are specified) to the world coordinate space, that is, a real
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position of the calibration pattern in the k-th pattern view (k=0.. *M* -1).
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@param rvecs Output vector of rotation vectors (see Rodrigues ) estimated for each pattern view
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(e.g. std::vector<cv::Mat>>). That is, each k-th rotation vector together with the corresponding
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k-th translation vector (see the next output parameter description) brings the calibration pattern
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from the model coordinate space (in which object points are specified) to the world coordinate
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space, that is, a real position of the calibration pattern in the k-th pattern view (k=0.. *M* -1).
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@param tvecs Output vector of translation vectors estimated for each pattern view.
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@param flags Different flags that may be zero or a combination of the following values:
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- **CV_CALIB_USE_INTRINSIC_GUESS** cameraMatrix contains valid initial values of
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