• 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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    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.

    Real-time electroholography based on computer-generated holograms (CGHs) is expected to become the ultimate three-dimensional (3D) television[1,2]. However, computationally, the CGH calculation rapidly becomes prohibitively expensive because real-time electroholography requires processing extremely high floating-point arithmetic. The image quality of holographic video deteriorates when reconstructed from a point-cloud model comprising a huge number of object points. Two proposals to suppress this deterioration are the time multiplexing for two-dimensional reconstruction[3] and the spatiotemporal division multiplexing for clear 3D holographic video playback[4]. Large-scale electroholography using the spatiotemporal division multiplexing approach[4] implemented on the Horn-8 system has been reported[5].