Reconstruction of optical wavefronts with parallel registration algorithms

This paper presents an evaluation of three developed parallel registration algorithms for the reconstruction of optical wavefronts. Two practical use cases are considered including high-quality optics generating (i) a plane and (ii) a divergent wavefront. The wavefronts are measured segment-by-segment with a scanning Shack-Hartmann sensor measurement system and are reconstructed by the algorithms. As a benchmark for the comparison of the registration performance, the well-established iterative closest point (ICP) algorithm is used. Results show that the developed registration algorithms attain a registration precision up to a factor of 10 better than the registration precision of the ICP algorithm.