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3D shape measurement by a novel structured light encoding and decoding method

In this article, we propose a 3D shape measurement technique based on a novel structured light encoding and decoding scheme . In this technique, as few as three images can be used to obtain the absolute 3D shape of the measured object. By adding perturbations to the Hamiltonian coding patterns, new coding patterns which have higher performance can be obtained. These patterns are projected onto the measured object, then normalized cross-correlation (ZNCC) decoding is performed using the obtained image sequence. The experimental results verified that our method is feasible.