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Direct linear transformation (DLT) is an algorithm which solves a set of variables from a set of similarity relations: : for where and are known vectors, denotes equality up to an unknown scalar multiplication, and 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 : for can be solved, for example, by rewriting it as a matrix equation where matrices and contain the vectors and in their respective columns. Given that there exists a unique solution, it is given by : 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, 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)』 ■ウィキペディアで「Direct linear transformation」の詳細全文を読む スポンサード リンク
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