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Normal Distribution Transform (NDT) is a registration
algorithm very used in many fields. Its main idea
consists in modeling clouds (points sets) with a set of Gaussian
distributions generated by discretizing each points set into voxels.
This algorithm gives a good transformation estimation if a point
and its neighbors represent a planar and linear patch. In light
of this fact, this paper presents a new way to apply NDT on 3D