Six Degree of Freedom Point Correspondences
نویسنده
چکیده
In this paper we develop the best homogeneous matrix transformation to fit two streams of dynamic six degree of freedom (6DOF) data. In particular, we compare object position and orientation results from two 6DOF sources. A problem that arises when comparing these two data streams is that they are not necessarily in the same coordinate system. Therefore, a method to transform one coordinate system to the other is needed. We solve this problem by developing an optimization problem that minimizes the space between each coordinate system. In other words, we construct a rotation and translation which best transforms one coordinate space to the other.
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