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We discuss the algorithm that enables a machine vision system to recognize a three-dimensional object from a series of multiple views. The algorithm uses pseudo reflection tomography to map N images of the object into a single signature image that incorporates information from all N views. Rotation, scale, and brightness-invariant features are extracted from the signature image that enable robust recognition of the object.
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