vector_to_anisoT_vector_to_anisoVectorToAnisoVectorToAnisovector_to_aniso (Operator)

Name

vector_to_anisoT_vector_to_anisoVectorToAnisoVectorToAnisovector_to_aniso — Approximate an anisotropic similarity transformation from point correspondences.

Signature

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

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

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

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

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

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

def vector_to_aniso(px: Sequence[float], py: Sequence[float], qx: Sequence[float], qy: Sequence[float]) -> Sequence[float]

Description

vector_to_anisovector_to_anisoVectorToAnisoVectorToAnisoVectorToAnisovector_to_aniso approximates an anisotropic similarity transformation, i.e., a transformation consisting of a rotation, a non-uniform scaling, and a translation, from at least three point correspondences and returns it as the homogeneous transformation matrix HomMat2DHomMat2DHomMat2DHomMat2DhomMat2Dhom_mat_2d. The matrix consists of 3 components: a scaling matrix S with non-identical scaling in the x and y directions, a rotation matrix R, and a translation vector t (also see hom_mat2d_scalehom_mat2d_scaleHomMat2dScaleHomMat2dScaleHomMat2dScalehom_mat2d_scale, hom_mat2d_rotatehom_mat2d_rotateHomMat2dRotateHomMat2dRotateHomMat2dRotatehom_mat2d_rotate, and hom_mat2d_translatehom_mat2d_translateHomMat2dTranslateHomMat2dTranslateHomMat2dTranslatehom_mat2d_translate):

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):

HomMat2DHomMat2DHomMat2DHomMat2DhomMat2Dhom_mat_2d can be used directly with operators that transform data using affine transformations, e.g., affine_trans_imageaffine_trans_imageAffineTransImageAffineTransImageAffineTransImageaffine_trans_image.

In an anisotropic similarity transformation, as defined above, the points are first scaled and then rotated. Sometimes, a transformation in which the points are first rotated and then scaled is useful. This kind of transformation can be computed with vector_to_anisovector_to_anisoVectorToAnisoVectorToAnisoVectorToAnisovector_to_aniso by passing the point correspondences in the opposite order, i.e., the points (PxPxPxPxpxpx,PyPyPyPypypy) are passed in the parameters (QxQxQxQxqxqx,QyQyQyQyqyqy) and vice versa. The resulting transformation must then be inverted with hom_mat2d_inverthom_mat2d_invertHomMat2dInvertHomMat2dInvertHomMat2dInverthom_mat2d_invert.

Attention

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.

Execution Information

Parameters

PxPxPxPxpxpx (input_control)  point.x-array HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

X coordinates of the original points.

PyPyPyPypypy (input_control)  point.y-array HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Y coordinates of the original points.

QxQxQxQxqxqx (input_control)  point.x-array HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

X coordinates of the transformed points.

QyQyQyQyqyqy (input_control)  point.y-array HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Y coordinates of the transformed points.

HomMat2DHomMat2DHomMat2DHomMat2DhomMat2Dhom_mat_2d (output_control)  hom_mat2d HHomMat2D, HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

Output transformation matrix.

Possible Successors

hom_mat2d_inverthom_mat2d_invertHomMat2dInvertHomMat2dInvertHomMat2dInverthom_mat2d_invert, affine_trans_imageaffine_trans_imageAffineTransImageAffineTransImageAffineTransImageaffine_trans_image, affine_trans_image_sizeaffine_trans_image_sizeAffineTransImageSizeAffineTransImageSizeAffineTransImageSizeaffine_trans_image_size, affine_trans_regionaffine_trans_regionAffineTransRegionAffineTransRegionAffineTransRegionaffine_trans_region, affine_trans_contour_xldaffine_trans_contour_xldAffineTransContourXldAffineTransContourXldAffineTransContourXldaffine_trans_contour_xld, affine_trans_polygon_xldaffine_trans_polygon_xldAffineTransPolygonXldAffineTransPolygonXldAffineTransPolygonXldaffine_trans_polygon_xld, affine_trans_point_2daffine_trans_point_2dAffineTransPoint2dAffineTransPoint2dAffineTransPoint2daffine_trans_point_2d

Alternatives

vector_to_hom_mat2dvector_to_hom_mat2dVectorToHomMat2dVectorToHomMat2dVectorToHomMat2dvector_to_hom_mat2d, vector_to_similarityvector_to_similarityVectorToSimilarityVectorToSimilarityVectorToSimilarityvector_to_similarity, vector_to_rigidvector_to_rigidVectorToRigidVectorToRigidVectorToRigidvector_to_rigid

See also

vector_field_to_hom_mat2dvector_field_to_hom_mat2dVectorFieldToHomMat2dVectorFieldToHomMat2dVectorFieldToHomMat2dvector_field_to_hom_mat2d, point_line_to_hom_mat2dpoint_line_to_hom_mat2dPointLineToHomMat2dPointLineToHomMat2dPointLineToHomMat2dpoint_line_to_hom_mat2d

Module

Foundation