Development of 3D invariants using linear algebra and tensor theory
Abstract
A framework for development of 3D invariants is proposed. Linear algebra (projection on the basis of spherical harmonics) and tensor theory are used to derive invariants with respect to 3D rotations. These invariants can be used to recognize 3D objects using 3D information, as shown in the experiments.
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