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Direct linear transformation : ウィキペディア英語版
Direct linear transformation
Direct linear transformation (DLT) is an algorithm which solves a set of variables from a set of similarity relations:
: \mathbf_ \propto \mathbf \, \mathbf_   for \, k = 1, \ldots, N
where \mathbf_ and \mathbf_ are known vectors, \, \propto denotes equality up to an unknown scalar multiplication, and \mathbf is a matrix (or linear transformation) which contains the unknowns to be solved.
This type of relation appears frequently in projective geometry. Practical examples include the relation between 3D points in a scene and their projection onto the image plane of a pinhole camera, and homographies.
== Introduction ==

An ordinary linear equation
: \mathbf_ = \mathbf \, \mathbf_   for \, k = 1, \ldots, N
can be solved, for example, by rewriting it as a matrix equation \mathbf = \mathbf \, \mathbf where matrices \mathbf and \mathbf contain the vectors \mathbf_ and \mathbf_ in their respective columns. Given that there exists a unique solution, it is given by
: \mathbf = \mathbf \, \mathbf^ \, (\mathbf \, \mathbf^)^ .
Solutions can also be described in the case that the equations are over or under determined.
What makes the direct linear transformation problem distinct from the above standard case is the fact that the left and right sides of the defining equation can differ by an unknown multiplicative factor which is dependent on ''k''. As a consequence, \mathbf cannot be computed as in the standard case. Instead, the similarity relations are rewritten as proper linear homogeneous equations which then can be solved by a standard method. The combination of rewriting the similarity equations as homogeneous linear equations and solving them by standard methods is referred to as a direct linear transformation algorithm or DLT algorithm.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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