Fast Computer-Generated Hologram Generation Method for Three-Dimensional Point Cloud Model

Su, Ping; Ma, Jianshe; Cheng, B.-J.; Liang, Xian-Ting; Cao, Liangcai; Jin, Guofan

doi:10.1109/jdt.2016.2553440

Cited by 49 publications

(18 citation statements)

References 26 publications

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“…The red, green, blue, and depth (RGB-D) image method represents a 3-D scene by composing sectional or layered color 2-D images at different depths. [85][86][87] Each RGB-D image is a set of color 2-D and depth images. We can obtain RGB-D images using commercially available RGB-D cameras, such as the Microsoft Kinect.…”

Section: Other Methodsmentioning

confidence: 99%

Review of real-time reconstruction techniques for aerial-projection holographic displays

et al. 2018

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Electroholography enables the projection of three-dimensional (3-D) images using a spatial-light modulator. The extreme computational complexity and load involved in generating a hologram make realtime production of holograms difficult. Many methods have been proposed to overcome this challenge and realize real-time reconstruction of 3-D motion pictures. We review two real-time reconstruction techniques for aerial-projection holographic displays. The first reduces the computational load required for a hologram by using an image-type computer-generated hologram (CGH) because an image-type CGH is generated from a 3-D object that is located on or close to the hologram plane. The other technique parallelizes CGH calculation via a graphics processing unit by exploiting the independence of each pixel in the holographic plane. © The Authors.Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Other Methodsmentioning

confidence: 99%

Review of real-time reconstruction techniques for aerial-projection holographic displays

et al. 2018

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“…There are mainly two types of CGHs, point-based and Fourier-transform-based (also called polygon-based). [4][5][6] Both generally involve a huge amount of computations; thus, computational reduction has been a main research topic in this field. However, the point-based method further suffers from the high computational complexity as shown in Eq.…”

Section: Introductionmentioning

confidence: 99%

“…Several software-based [5][6][7][8][9][10][11][12] and hardware-based [13][14][15][16][17][18][19] methods were proposed to reduce the computational complexity. Software-based methods have tried to store the CGH computation results in a look-up table in advance, 7,8 recursively generate the intensities of the rest using the precalculated values of neighbor or particular CGH pixels, 9,10 and reduce the CGH computation using a cosine approximation algorithm, 11 an effective diffraction area recording method, 12 a layered model, 5 or a patch model.…”

Section: Introductionmentioning

confidence: 99%

“…Software-based methods have tried to store the CGH computation results in a look-up table in advance, 7,8 recursively generate the intensities of the rest using the precalculated values of neighbor or particular CGH pixels, 9,10 and reduce the CGH computation using a cosine approximation algorithm, 11 an effective diffraction area recording method, 12 a layered model, 5 or a patch model. 6 However, those could not speed up enough to generate high-resolution holograms in real time, and some of them have degraded the quality of holograms.…”

Section: Introductionmentioning

confidence: 99%

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Two schemes for rapid generation of digital video holograms using PC cluster

et al. 2017

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Abstract. Computer-generated holography (CGH), which is a process of generating digital holograms, is computationally expensive. Recently, several methods/systems of parallelizing the process using graphic processing units (GPUs) have been proposed. Indeed, use of multiple GPUs or a personal computer (PC) cluster (each PC with GPUs) enabled great improvements in the process speed. However, extant literature has less often explored systems involving rapid generation of multiple digital holograms and specialized systems for rapid generation of a digital video hologram. This study proposes a system that uses a PC cluster and is able to more efficiently generate a video hologram. The proposed system is designed to simultaneously generate multiple frames and accelerate the generation by parallelizing the CGH computations across a number of frames, as opposed to separately generating each individual frame while parallelizing the CGH computations within each frame. The proposed system also enables the subprocesses for generating each frame to execute in parallel through multithreading. With these two schemes, the proposed system significantly reduced the data communication time for generating a digital hologram when compared with that of the state-of-the-art system.

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“…Based on these inspirations, a new method of holographic VR/AR display is proposed. In contrast to the conventional hologram computation method such as point cloud-based, layer-based, and triangular mesh-based algorithms [14][15][16][17][18][19], a faster hologram computation method is developed.…”

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confidence: 99%

Fast Multiple Projection Image Method for VR and AR Near-eye 3D Display

Xu¹,

Zhang²,

Wang³

2019

Preprint

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We propose a computer-generated hologram method for near-eye virtual reality and augmented reality 3D display. A 3D object located near the holographic plane is projected onto a projection plane to obtain a plurality of projected images with different angles. The hologram is calculated by superposition of projected image convolution with a specific PSF through the interference of reference wave with object wave. Holographic 3D display systems with LED as illumination, 4f optical filtering system and lens as eyepiece for near-eye VR display and HOE as combiner for near-eye AR display are designed. The results show that the proposed method is about 38 times faster than the conventional point cloud method. The proposed method is flexible to produce speckle noise free high-quality VR and AR images with efficient focus and defocus capabilities.

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Fast Computer-Generated Hologram Generation Method for Three-Dimensional Point Cloud Model

Cited by 49 publications

References 26 publications

Review of real-time reconstruction techniques for aerial-projection holographic displays

Review of real-time reconstruction techniques for aerial-projection holographic displays

Two schemes for rapid generation of digital video holograms using PC cluster

Fast Multiple Projection Image Method for VR and AR Near-eye 3D Display

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