• Chinese Optics Letters
  • Vol. 18, Issue 7, 070901 (2020)
Hiromi Sannomiya1, Naoki Takada2、*, Kohei Suzuki1, Tomoya Sakaguchi1, Hirotaka Nakayama3, Minoru Oikawa2, Yuichiro Mori2, Takashi Kakue4, Tomoyoshi Shimobaba4, and Tomoyoshi Ito4
Author Affiliations
  • 1Graduate School of Integrated Arts and Sciences, Kochi University, Kochi 780-8520, Japan
  • 2Research and Education Faculty, Kochi University, Kochi 780-8520, Japan
  • 3National Astronomical Observatory of Japan, Mitaka 181-8588, Japan
  • 4Graduate School of Engineering, Chiba University, Inage-ku 263-8522, Japan
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    Abstract

    Computationally, the calculation of computer-generated holograms is extremely expensive, and the image quality deteriorates when reconstructing three-dimensional (3D) holographic video from a point-cloud model comprising a huge number of object points. To solve these problems, we implement herein a spatiotemporal division multiplexing method on a cluster system with 13 GPUs connected by a gigabit Ethernet network. A performance evaluation indicates that the proposed method can realize a real-time holographic video of a 3D object comprising ~1,200,000 object points. These results demonstrate a clear 3D holographic video at 32.7 frames per second reconstructed from a 3D object comprising 1,064,462 object points.
    I(xh,yh,0)=j=1NpAjcos{πλzj[(xhxj)2+(yhyj)2]},(1)

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