Computer Graphics
TU Braunschweig

Adaptive Gaussian Points for Faster and Better Computer-Generated Holograms


Adaptive Gaussian Points for Faster and Better Computer-Generated Holograms

To achieve better quality and generation speed, we generate holograms from adaptively sized and placed points, modeled as 2D Gaussians. We compute them with a Rayleigh-Sommerfeld convolution directly in a compact, radially symmetric look-up table.


Author(s): Sascha Fricke, Reinhard Caspary, Susana Castillo, Marcus Magnor
Published: August 2022
Type: Article in conference proceedings
Book: Digital Holography and Three-Dimensional Imaging (Optica Publishing Group)
Presented at: Digital Holography and 3-D Imaging (DH) 2022
Project(s): Wave Optics Rendering 

BibTex PDF 



@inproceedings{fricke2022adaptive,
  title = {Adaptive Gaussian Points for Faster and Better Computer-Generated Holograms},
  author = {Fricke, Sascha and Caspary, Reinhard and Castillo, Susana  and Magnor, Marcus},
  booktitle = {Digital Holography and Three-Dimensional Imaging},
  organization = {Optica Publishing Group},
  pages = {W3A.4 ff.},
  month = {Aug},
  year = {2022}
}

Authors