Fig. 2: Illustration and evaluations of the coarse-to-fine holographic optimization algorithm for the projection patterns.
From: Sub-second volumetric 3D printing by synthesis of holographic light fields
a, Diagram illustrating the holographic optimization algorithm for multi-angle projections. An iterative holographic algorithm is developed to optimize binary patterns for each angle. b, Comparisons of the optimized patterns by the traditional PM algorithm and our holographic optimization algorithm. c, Simulated products and the cross-sections obtained by PM and our method. d, Curves of the Jaccard index between the simulated products and the target versus the number of total binary projection patterns for each rotation round. The curves of three different methods were compared, including the PM algorithm, the global Gerchberg–Saxton (GS) algorithm and our algorithm. e, Curves of the Jaccard index between the simulated products and the target versus the number of total binary projection patterns for each rotation round. Curves of our method with different binarization parameters are shown.
