Extended Data Fig. 5: Comparative analysis of several pattern-optimization algorithms. | Nature

Extended Data Fig. 5: Comparative analysis of several pattern-optimization algorithms.

From: Sub-second volumetric 3D printing by synthesis of holographic light fields

Extended Data Fig. 5: Comparative analysis of several pattern-optimization algorithms.The alternative text for this image may have been generated using AI.

a, Illustration of the ground-truth target volume and its cross-sections. b, Simulated printing results obtained by several optimization methods illustrated with their cross-sections. The methods include PM used in previous CAL methods with ray optics modelling, the global Gerchberg–Saxton (GS) algorithm and our binary holographic optimization algorithm. c, The signed distances of the simulated printing results compared with the ground truth (1,800 binary projections used). Curves of the root mean square of signed distances versus the number of total binary projection patterns used for different algorithms are shown on the right.

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