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Implement point cloud alignment for SE3 #346

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@Hs293Go Hs293Go commented Apr 4, 2022

Point cloud alignment is an application common enough that Eigen provides Eigen::umeyama to this end. Sophus can do better by exploiting a closed form solution for the optimum rotation quaternion. Another benefit is being able to store the result naturally in a SE3 object.

Method Solver method Result storage
Eigen::umeyama SVD Eigen::Matrix4d (16 parameters)
SE3::setFromPointClouds Eigenproblem Sophus::SE3 (7 parameters)

This is equivalent to `Eigen::umeyama` but faster and stores the results
more compactly.
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Coverage Status

Coverage increased (+0.03%) to 99.044% when pulling ecd252a on Hs293Go:develop into 0f7f957 on strasdat:master.

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