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  2. Affine transformation - Wikipedia

    en.wikipedia.org/wiki/Affine_transformation

    This transform relocates pixels requiring intensity interpolation to approximate the value of moved pixels, bicubic interpolation is the standard for image transformations in image processing applications. Affine transformations scale, rotate, translate, mirror and shear images as shown in the following examples: [16]

  3. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    where the model translation is [t x t y] T and the affine rotation, scale, and stretch are represented by the parameters m 1, m 2, m 3 and m 4. To solve for the transformation parameters the equation above can be rewritten to gather the unknowns into a column vector.

  4. Transformation matrix - Wikipedia

    en.wikipedia.org/wiki/Transformation_matrix

    A reflection about a line or plane that does not go through the origin is not a linear transformation — it is an affine transformation — as a 4×4 affine transformation matrix, it can be expressed as follows (assuming the normal is a unit vector): [′ ′ ′] = [] [] where = for some point on the plane, or equivalently, + + + =.

  5. Digital image processing - Wikipedia

    en.wikipedia.org/wiki/Digital_image_processing

    Digital image processing is the use of a digital computer to process digital images through an ... These 3 affine transformations can be combined into a single matrix ...

  6. Motion estimation - Wikipedia

    en.wikipedia.org/wiki/Motion_estimation

    Affine motion estimation is a technique used in computer vision and image processing to estimate the motion between two images or frames. It assumes that the motion can be modeled as an affine transformation (translation + rotation + zooming), which is a linear transformation followed by a translation.

  7. Affine shape adaptation - Wikipedia

    en.wikipedia.org/wiki/Affine_shape_adaptation

    Affine shape adaptation is a methodology for iteratively adapting the shape of the smoothing kernels in an affine group of smoothing kernels to the local image structure in neighbourhood region of a specific image point. Equivalently, affine shape adaptation can be accomplished by iteratively warping a local image patch with affine ...

  8. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Image registration algorithms can also be classified according to the transformation models they use to relate the target image space to the reference image space. The first broad category of transformation models includes linear transformations , which include rotation, scaling, translation, and other affine transforms. [ 5 ]

  9. Scale-space axioms - Wikipedia

    en.wikipedia.org/wiki/Scale-space_axioms

    [10] [11] In addition to variabilities over scale, which original scale-space theory was designed to handle, this generalized scale-space theory also comprises other types of variabilities, including image deformations caused by viewing variations, approximated by local affine transformations, and relative motions between objects in the world ...