affine transformation


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Noun1.affine transformation - (mathematics) a transformation that is a combination of single transformations such as translation or rotation or reflection on an axisaffine transformation - (mathematics) a transformation that is a combination of single transformations such as translation or rotation or reflection on an axis
math, mathematics, maths - a science (or group of related sciences) dealing with the logic of quantity and shape and arrangement
transformation - (mathematics) a function that changes the position or direction of the axes of a coordinate system
References in periodicals archive ?
This simplification will reduce necessary number of corresponding points used in stitching images together, and this simplified image transformation is called affine transformation.
In the first step, reference image and target image were globally aligned using affine transformation.
To eliminate unintentional random motion, the RANSAC [21] and position verification method is employed in the selection of correspondence pairs for affine transformation.
We adopted the 3D affine transformation using cubic interpolation to resize the extracted cluster.
This would imply that to prove the self-similarity of a compact set X, it is necessary to evaluate all partitions of X and find in everyone of them an equivalence class which is not an affine transformation of X.
Assuming that v(w - l) = u(w - l) and v(w) = u(w) by using a suitable positive affine transformation, we may uniquely select [zeta] [member of] (w - l, w) that serves as a benchmark value for agent u's current consumption (see Figure 1).
The image augmentation contained one of several transformation techniques including affine transformation, perspective transformation, and simple image rotations.
cj]) of size N x N; (2) taking 8 geometrical transformations of each block which includes 4 rotations with 90 degrees and 4 mirror reflections; (3) for each geometrical transformed block perform contractive affine transformation on the gray-scale values and select the parameters which give lowest MSE.
We first construct a new object function through applying directly a homogeneous affine transformation between pre- and post-compression data.
Perform an affine transformation to the RC4-KSA S-Box to produce the final S-Box.
We carry out this process by applying an affine transformation to the intensity distribution of the LPSI.
When applying image pyramids, homologous points are searched and adjusted using affine transformation technique.