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Improve the documentation for cv::Affine3.
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@ -2629,7 +2629,7 @@ public:
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/** @overload
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initializes an empty SVD structure and then calls SVD::operator()
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@param src decomposed matrix.
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@param src decomposed matrix. The depth has to be CV_32F or CV_64F.
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@param flags operation flags (SVD::Flags)
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*/
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SVD( InputArray src, int flags = 0 );
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@ -2642,7 +2642,7 @@ public:
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different matrices. Each time, if needed, the previous u,`vt` , and w
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are reclaimed and the new matrices are created, which is all handled by
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Mat::create.
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@param src decomposed matrix.
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@param src decomposed matrix. The depth has to be CV_32F or CV_64F.
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@param flags operation flags (SVD::Flags)
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*/
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SVD& operator ()( InputArray src, int flags = 0 );
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@ -2658,18 +2658,18 @@ public:
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SVD::compute(A, w, u, vt);
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@endcode
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@param src decomposed matrix
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@param src decomposed matrix. The depth has to be CV_32F or CV_64F.
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@param w calculated singular values
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@param u calculated left singular vectors
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@param vt transposed matrix of right singular values
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@param flags operation flags - see SVD::SVD.
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@param vt transposed matrix of right singular vectors
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@param flags operation flags - see SVD::Flags.
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*/
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static void compute( InputArray src, OutputArray w,
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OutputArray u, OutputArray vt, int flags = 0 );
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/** @overload
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computes singular values of a matrix
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@param src decomposed matrix
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@param src decomposed matrix. The depth has to be CV_32F or CV_64F.
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@param w calculated singular values
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@param flags operation flags - see SVD::Flags.
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*/
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@ -55,7 +55,72 @@ namespace cv
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//! @{
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/** @brief Affine transform
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@todo document
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*
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* It represents a 4x4 homogeneous transformation matrix \f$T\f$
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*
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* \f[T =
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* \begin{bmatrix}
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* R & t\\
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* 0 & 1\\
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* \end{bmatrix}
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* \f]
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*
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* where \f$R\f$ is a 3x3 rotation matrix and \f$t\f$ is a 3x1 translation vector.
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*
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* You can specify \f$R\f$ either by a 3x3 rotation matrix or by a 3x1 rotation vector,
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* which is converted to a 3x3 rotation matrix by the Rodrigues formula.
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*
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* To construct a matrix \f$T\f$ representing first rotation around the axis \f$r\f$ with rotation
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* angle \f$|r|\f$ in radian (right hand rule) and then translation by the vector \f$t\f$, you can use
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*
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* @code
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* cv::Vec3f r, t;
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* cv::Affine3f T(r, t);
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* @endcode
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*
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* If you already have the rotation matrix \f$R\f$, then you can use
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*
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* @code
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* cv::Matx33f R;
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* cv::Affine3f T(R, t);
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* @endcode
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*
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* To extract the rotation matrix \f$R\f$ from \f$T\f$, use
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*
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* @code
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* cv::Matx33f R = T.rotation();
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* @endcode
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*
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* To extract the translation vector \f$t\f$ from \f$T\f$, use
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*
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* @code
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* cv::Vec3f t = T.translation();
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* @endcode
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*
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* To extract the rotation vector \f$r\f$ from \f$T\f$, use
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*
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* @code
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* cv::Vec3f r = T.rvec();
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* @endcode
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*
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* Note that since the mapping from rotation vectors to rotation matrices
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* is many to one. The returned rotation vector is not necessarily the one
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* you used before to set the matrix.
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*
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* If you have two transformations \f$T = T_1 * T_2\f$, use
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*
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* @code
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* cv::Affine3f T, T1, T2;
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* T = T2.concatenate(T1);
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* @endcode
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*
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* To get the inverse transform of \f$T\f$, use
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*
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* @code
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* cv::Affine3f T, T_inv;
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* T_inv = T.inv();
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* @endcode
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*
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*/
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template<typename T>
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class Affine3
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@ -66,45 +131,127 @@ namespace cv
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typedef Matx<float_type, 4, 4> Mat4;
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typedef Vec<float_type, 3> Vec3;
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//! Default constructor. It represents a 4x4 identity matrix.
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Affine3();
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//! Augmented affine matrix
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Affine3(const Mat4& affine);
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//! Rotation matrix
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/**
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* The resulting 4x4 matrix is
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*
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* \f[
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* \begin{bmatrix}
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* R & t\\
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* 0 & 1\\
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* \end{bmatrix}
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* \f]
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*
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* @param R 3x3 rotation matrix.
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* @param t 3x1 translation vector.
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*/
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Affine3(const Mat3& R, const Vec3& t = Vec3::all(0));
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//! Rodrigues vector
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/**
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* Rodrigues vector.
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*
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* The last row of the current matrix is set to [0,0,0,1].
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*
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* @param rvec 3x1 rotation vector. Its direction indicates the rotation axis and its length
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* indicates the rotation angle in radian (using right hand rule).
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* @param t 3x1 translation vector.
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*/
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Affine3(const Vec3& rvec, const Vec3& t = Vec3::all(0));
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//! Combines all contructors above. Supports 4x4, 4x3, 3x3, 1x3, 3x1 sizes of data matrix
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/**
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* Combines all constructors above. Supports 4x4, 3x4, 3x3, 1x3, 3x1 sizes of data matrix.
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*
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* The last row of the current matrix is set to [0,0,0,1] when data is not 4x4.
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*
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* @param data 1-channel matrix.
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* when it is 4x4, it is copied to the current matrix and t is not used.
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* When it is 3x4, it is copied to the upper part 3x4 of the current matrix and t is not used.
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* When it is 3x3, it is copied to the upper left 3x3 part of the current matrix.
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* When it is 3x1 or 1x3, it is treated as a rotation vector and the Rodrigues formula is used
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* to compute a 3x3 rotation matrix.
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* @param t 3x1 translation vector. It is used only when data is neither 4x4 nor 3x4.
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*/
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explicit Affine3(const Mat& data, const Vec3& t = Vec3::all(0));
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//! From 16th element array
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//! From 16-element array
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explicit Affine3(const float_type* vals);
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//! Create identity transform
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//! Create an 4x4 identity transform
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static Affine3 Identity();
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//! Rotation matrix
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/**
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* Rotation matrix.
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*
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* Copy the rotation matrix to the upper left 3x3 part of the current matrix.
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* The remaining elements of the current matrix are not changed.
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*
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* @param R 3x3 rotation matrix.
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*
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*/
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void rotation(const Mat3& R);
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//! Rodrigues vector
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/**
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* Rodrigues vector.
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*
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* It sets the upper left 3x3 part of the matrix. The remaining part is unaffected.
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*
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* @param rvec 3x1 rotation vector. The direction indicates the rotation axis and
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* its length indicates the rotation angle in radian (using the right thumb convention).
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*/
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void rotation(const Vec3& rvec);
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//! Combines rotation methods above. Suports 3x3, 1x3, 3x1 sizes of data matrix;
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/**
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* Combines rotation methods above. Supports 3x3, 1x3, 3x1 sizes of data matrix.
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*
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* It sets the upper left 3x3 part of the matrix. The remaining part is unaffected.
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*
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* @param data 1-channel matrix.
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* When it is a 3x3 matrix, it sets the upper left 3x3 part of the current matrix.
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* When it is a 1x3 or 3x1 matrix, it is used as a rotation vector. The Rodrigues formula
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* is used to compute the rotation matrix and sets the upper left 3x3 part of the current matrix.
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*/
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void rotation(const Mat& data);
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/**
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* Copy the 3x3 matrix L to the upper left part of the current matrix
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*
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* It sets the upper left 3x3 part of the matrix. The remaining part is unaffected.
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*
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* @param L 3x3 matrix.
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*/
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void linear(const Mat3& L);
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/**
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* Copy t to the first three elements of the last column of the current matrix
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*
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* It sets the upper right 3x1 part of the matrix. The remaining part is unaffected.
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*
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* @param t 3x1 translation vector.
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*/
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void translation(const Vec3& t);
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//! @return the upper left 3x3 part
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Mat3 rotation() const;
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//! @return the upper left 3x3 part
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Mat3 linear() const;
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//! @return the upper right 3x1 part
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Vec3 translation() const;
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//! Rodrigues vector
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//! Rodrigues vector.
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//! @return a vector representing the upper left 3x3 rotation matrix of the current matrix.
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//! @warning Since the mapping between rotation vectors and rotation matrices is many to one,
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//! this function returns only one rotation vector that represents the current rotation matrix,
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//! which is not necessarily the same one set by `rotation(const Vec3& rvec)`.
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Vec3 rvec() const;
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//! @return the inverse of the current matrix.
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Affine3 inv(int method = cv::DECOMP_SVD) const;
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//! a.rotate(R) is equivalent to Affine(R, 0) * a;
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@ -113,7 +260,7 @@ namespace cv
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//! a.rotate(rvec) is equivalent to Affine(rvec, 0) * a;
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Affine3 rotate(const Vec3& rvec) const;
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//! a.translate(t) is equivalent to Affine(E, t) * a;
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//! a.translate(t) is equivalent to Affine(E, t) * a, where E is an identity matrix
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Affine3 translate(const Vec3& t) const;
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//! a.concatenate(affine) is equivalent to affine * a;
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@ -136,6 +283,7 @@ namespace cv
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template<typename T> static
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Affine3<T> operator*(const Affine3<T>& affine1, const Affine3<T>& affine2);
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//! V is a 3-element vector with member fields x, y and z
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template<typename T, typename V> static
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V operator*(const Affine3<T>& affine, const V& vector);
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@ -178,7 +326,7 @@ namespace cv
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//! @cond IGNORED
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///////////////////////////////////////////////////////////////////////////////////
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// Implementaiton
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// Implementation
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template<typename T> inline
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cv::Affine3<T>::Affine3()
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@ -212,6 +360,7 @@ template<typename T> inline
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cv::Affine3<T>::Affine3(const cv::Mat& data, const Vec3& t)
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{
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CV_Assert(data.type() == cv::traits::Type<T>::value);
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CV_Assert(data.channels() == 1);
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if (data.cols == 4 && data.rows == 4)
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{
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@ -276,11 +425,12 @@ void cv::Affine3<T>::rotation(const Vec3& _rvec)
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}
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}
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//Combines rotation methods above. Suports 3x3, 1x3, 3x1 sizes of data matrix;
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//Combines rotation methods above. Supports 3x3, 1x3, 3x1 sizes of data matrix;
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template<typename T> inline
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void cv::Affine3<T>::rotation(const cv::Mat& data)
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{
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CV_Assert(data.type() == cv::traits::Type<T>::value);
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CV_Assert(data.channels() == 1);
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if (data.cols == 3 && data.rows == 3)
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{
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@ -295,7 +445,7 @@ void cv::Affine3<T>::rotation(const cv::Mat& data)
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rotation(_rvec);
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}
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else
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CV_Assert(!"Input marix can be 3x3, 1x3 or 3x1");
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CV_Assert(!"Input matrix can only be 3x3, 1x3 or 3x1");
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}
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template<typename T> inline
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@ -92,7 +92,7 @@ Except of the plain constructor which takes a list of elements, Matx can be init
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float values[] = { 1, 2, 3};
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Matx31f m(values);
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@endcode
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In case if C++11 features are avaliable, std::initializer_list can be also used to initizlize Matx:
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In case if C++11 features are avaliable, std::initializer_list can be also used to initialize Matx:
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@code{.cpp}
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Matx31f m = { 1, 2, 3};
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@endcode
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