Moment invariants are important shape descriptors in computer vision. In this paper rules are presented to form complete sets of rotational invariants of arbitrary order given complex Zernike moments. The relevance of the pseudoinvariants is shown by inverting the rotational invariants to reconstruct the normalized image pattern.>
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Wallin et al. (1995) studied this question.
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