Abstract
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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