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Point-polygon hybrid method for generating holograms

Fan Wang, David Blinder, Tomoyoshi Ito, and Tomoyoshi Shimobaba

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Abstract

Computer-generated holograms (CGHs) are usually calculated from point clouds or polygon meshes. Point-based holograms are good at depicting details of objects, such as continuous depth cues, while polygon-based holograms tend to efficiently render high-density surfaces with accurate occlusions. Herein, we propose a novel point-polygon hybrid method (PPHM) to compute CGHs for the first time (to the best of our knowledge), which takes advantage of both point-based and polygon-based methods, and thus performs better than each of them separately. Reconstructions of 3D object holograms confirm that the proposed PPHM can present continuous depth cues with fewer triangles, implying high computational efficiency without losing quality.

© 2023 Optica Publishing Group

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Supplementary Material (5)

NameDescription
Supplement 1       Supplemental document describing the optical setup
Visualization 1       This video shows the dynamic reconstructions of the three methods at different depths, which reveals the benefits of PPHM for focal cue accuracy.
Visualization 2       This video shows the dynamic reconstructions of the two methods from the farthest to the nearest, indicating depth cue consistency.
Visualization 3       This video shows a video captured from a camera in the holographic setup.
Visualization 4       Side-by-side comparison of the point-based CGH algorithm and the PPHM (without occlusion).

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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