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  2. Rigid transformation - Wikipedia

    en.wikipedia.org/wiki/Rigid_transformation

    A rigid transformation is formally defined as a transformation that, when acting on any vector v, produces a transformed vector T(v) of the form. T(v) = R v + t. where RT = R−1 (i.e., R is an orthogonal transformation), and t is a vector giving the translation of the origin. A proper rigid transformation has, in addition,

  3. Affine transformation - Wikipedia

    en.wikipedia.org/wiki/Affine_transformation

    Let X be an affine space over a field k, and V be its associated vector space. An affine transformation is a bijection f from X onto itself that is an affine map; this means that a linear map g from V to V is well defined by the equation () = (); here, as usual, the subtraction of two points denotes the free vector from the second point to the first one, and "well-defined" means that ...

  4. Transformation matrix - Wikipedia

    en.wikipedia.org/wiki/Transformation_matrix

    Transformation matrix. In linear algebra, linear transformations can be represented by matrices. If is a linear transformation mapping to and is a column vector with entries, then for some matrix , called the transformation matrix of . [citation needed] Note that has rows and columns, whereas the transformation is from to .

  5. Deformation (physics) - Wikipedia

    en.wikipedia.org/wiki/Deformation_(physics)

    An affine deformation is a deformation that can be completely described by an affine transformation. Such a transformation is composed of a linear transformation (such as rotation, shear, extension and compression) and a rigid body translation. Affine deformations are also called homogeneous deformations. [3]

  6. Euclidean group - Wikipedia

    en.wikipedia.org/wiki/Euclidean_group

    The Euclidean group is a subgroup of the group of affine transformations. It has as subgroups the translational group T( n ), and the orthogonal group O( n ). Any element of E( n ) is a translation followed by an orthogonal transformation (the linear part of the isometry), in a unique way: x ↦ A ( x + b ) {\displaystyle x\mapsto A(x+b)} where ...

  7. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. [ 1 ] It is used in computer vision, medical imaging, [ 2 ] military automatic target recognition, and compiling and analyzing images and data from ...

  8. Isomorphism - Wikipedia

    en.wikipedia.org/wiki/Isomorphism

    Isomorphism. The group of fifth roots of unity under multiplication is isomorphic to the group of rotations of the regular pentagon under composition. In mathematics, an isomorphism is a structure-preserving mapping between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if ...

  9. Shear mapping - Wikipedia

    en.wikipedia.org/wiki/Shear_mapping

    In plane geometry, a shear mapping is an affine transformation that displaces each point in a fixed direction by an amount proportional to its signed distance from a given line parallel to that direction. [1] This type of mapping is also called shear transformation, transvection, or just shearing. The transformations can be applied with a shear ...