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Computer generated hologram from point cloud using graphics processor.

Rick H-Y Chen1, Timothy D Wilkinson

  • 1Electrical Engineering Division, Department of Engineering, University of Cambridge, 9 JJ Thomson Avenue, Cambridge CB3 0FA, UK.

Applied Optics
|December 24, 2009
PubMed
Summary
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We developed a faster computer-generated holography algorithm using graphics processing units (GPUs). This method reduces computational load for realistic 3D holographic reconstructions with occlusion and shadowing.

Area of Science:

  • Computer Graphics
  • Computational Imaging
  • Holography

Background:

  • Realistic computer-generated holography (CGH) demands significant computational resources.
  • Achieving full parallax, occlusion, and shadowing in CGH is computationally intensive.

Purpose of the Study:

  • To present an efficient algorithm for CGH on modern graphics processing units (GPUs).
  • To alleviate the computational burden associated with complex holographic reconstructions.

Main Methods:

  • Utilized data-parallel computing on GPUs.
  • Applied Gaussian interpolation for continuous surface representation from discrete object points.
  • Implemented a potential occluder list per hologram plane sample to minimize visibility tests.
  • Experimented with two approximations to simplify and accelerate occlusion computation.

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Main Results:

  • Neighboring hologram plane samples sharing visibility information significantly accelerated computation without noticeable artifacts.
  • Non-uniform sampling to compute a reduced sample set proved effective for acceleration.

Conclusions:

  • The proposed GPU-based algorithm effectively reduces computational complexity for CGH.
  • Approximations in occlusion computation and non-uniform sampling are viable strategies for accelerating holographic reconstruction.