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vector_to_rigidT_vector_to_rigidVectorToRigidvector_to_rigidVectorToRigidVectorToRigid (Operator)


vector_to_rigidT_vector_to_rigidVectorToRigidvector_to_rigidVectorToRigidVectorToRigid — Approximate a rigid affine transformation from point correspondences.


vector_to_rigid( : : Px, Py, Qx, Qy : HomMat2D)

Herror T_vector_to_rigid(const Htuple Px, const Htuple Py, const Htuple Qx, const Htuple Qy, Htuple* HomMat2D)

Herror vector_to_rigid(const HTuple& Px, const HTuple& Py, const HTuple& Qx, const HTuple& Qy, HTuple* HomMat2D)

void VectorToRigid(const HTuple& Px, const HTuple& Py, const HTuple& Qx, const HTuple& Qy, HTuple* HomMat2D)

void HHomMat2D::VectorToRigid(const HTuple& Px, const HTuple& Py, const HTuple& Qx, const HTuple& Qy)

void HOperatorSetX.VectorToRigid(
[in] VARIANT Px, [in] VARIANT Py, [in] VARIANT Qx, [in] VARIANT Qy, [out] VARIANT* HomMat2d)

void HHomMat2DX.VectorToRigid(
[in] VARIANT Px, [in] VARIANT Py, [in] VARIANT Qx, [in] VARIANT Qy)

static void HOperatorSet.VectorToRigid(HTuple px, HTuple py, HTuple qx, HTuple qy, out HTuple homMat2D)

void HHomMat2D.VectorToRigid(HTuple px, HTuple py, HTuple qx, HTuple qy)


vector_to_rigidvector_to_rigidVectorToRigidvector_to_rigidVectorToRigidVectorToRigid approximates a rigid affine transformation, i.e., a transformation consisting of a rotation and a translation, from at least two point correspondences and returns it as the homogeneous transformation matrix HomMat2DHomMat2DHomMat2DHomMat2DHomMat2DhomMat2D. The matrix consists of 2 components: a rotation matrix R and a translation vector t (also see hom_mat2d_rotatehom_mat2d_rotateHomMat2dRotatehom_mat2d_rotateHomMat2dRotateHomMat2dRotate and hom_mat2d_translatehom_mat2d_translateHomMat2dTranslatehom_mat2d_translateHomMat2dTranslateHomMat2dTranslate):

                              / 1 0 tx \   / R00 R01 0 \
  HomMat2D  =  |  R   t |  =  | 0 1 ty | * | R10 R11 0 |  =  H(t) * H(R)
               | 0 0  1 |     \ 0 0 1  /   \  0   0  1 /

The point correspondences are passed in the tuples (PxPxPxPxPxpx, PyPyPyPyPypy) and (QxQxQxQxQxqx,QyQyQyQyQyqy), where corresponding points must be at the same index positions in the tuples. The transformation is always overdetermined. Therefore, the returned transformation is the transformation that minimizes the distances between the original points (PxPxPxPxPxpx,PyPyPyPyPypy) and the transformed points (QxQxQxQxQxqx,QyQyQyQyQyqy), as described in the following equation (points as homogeneous vectors):

             || / Qx[i] \                / Px[i] \ ||^2
 sum of all  || | Qy[i] |  -  HomMat2D * | Py[i] | ||  =  minimum
             || \  1    /                \  1    / ||

HomMat2DHomMat2DHomMat2DHomMat2DHomMat2DhomMat2D can be used directly with operators that transform data using affine transformations, e.g., affine_trans_imageaffine_trans_imageAffineTransImageaffine_trans_imageAffineTransImageAffineTransImage.


It should be noted that homogeneous transformation matrices refer to a general right-handed mathematical coordinate system. If a homogeneous transformation matrix is used to transform images, regions, XLD contours, or any other data that has been extracted from images, the row coordinates of the transformation must be passed in the x coordinates, while the column coordinates must be passed in the y coordinates. Consequently, the order of passing row and column coordinates follows the usual order (RowRowRowRowRowrow,ColumnColumnColumnColumnColumncolumn). This convention is essential to obtain a right-handed coordinate system for the transformation of iconic data, and consequently to ensure in particular that rotations are performed in the correct mathematical direction.

Furthermore, it should be noted that if a homogeneous transformation matrix is used to transform images, regions, XLD contours, or any other data that has been extracted from images, it is assumed that the origin of the coordinate system of the homogeneous transformation matrix lies in the upper left corner of a pixel. The image processing operators that return point coordinates, however, assume a coordinate system in which the origin lies in the center of a pixel. Therefore, to obtain a consistent homogeneous transformation matrix, 0.5 must be added to the point coordinates before computing the transformation.



PxPxPxPxPxpx (input_control)  point.x-array HTupleHTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double) (double)

X coordinates of the original points.

PyPyPyPyPypy (input_control)  point.y-array HTupleHTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double) (double)

Y coordinates of the original points.

QxQxQxQxQxqx (input_control)  point.x-array HTupleHTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double) (double)

X coordinates of the transformed points.

QyQyQyQyQyqy (input_control)  point.y-array HTupleHTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double) (double)

Y coordinates of the transformed points.

HomMat2DHomMat2DHomMat2DHomMat2DHomMat2DhomMat2D (output_control)  hom_mat2d HHomMat2D, HTupleHTupleHTupleHHomMat2DX, VARIANTHtuple (real) (double) (double) (double) (double) (double)

Output transformation matrix.

Possible Successors

affine_trans_imageaffine_trans_imageAffineTransImageaffine_trans_imageAffineTransImageAffineTransImage, affine_trans_image_sizeaffine_trans_image_sizeAffineTransImageSizeaffine_trans_image_sizeAffineTransImageSizeAffineTransImageSize, affine_trans_regionaffine_trans_regionAffineTransRegionaffine_trans_regionAffineTransRegionAffineTransRegion, affine_trans_contour_xldaffine_trans_contour_xldAffineTransContourXldaffine_trans_contour_xldAffineTransContourXldAffineTransContourXld, affine_trans_polygon_xldaffine_trans_polygon_xldAffineTransPolygonXldaffine_trans_polygon_xldAffineTransPolygonXldAffineTransPolygonXld, affine_trans_point_2daffine_trans_point_2dAffineTransPoint2daffine_trans_point_2dAffineTransPoint2dAffineTransPoint2d


vector_to_hom_mat2dvector_to_hom_mat2dVectorToHomMat2dvector_to_hom_mat2dVectorToHomMat2dVectorToHomMat2d, vector_to_anisovector_to_anisoVectorToAnisovector_to_anisoVectorToAnisoVectorToAniso, vector_to_similarityvector_to_similarityVectorToSimilarityvector_to_similarityVectorToSimilarityVectorToSimilarity

See also




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