Holographic 3D Display Using Depth Maps Generated by 2D-to-3D Rendering Approach

He, Zongling; Sui, Xiaomeng; Cao, Liangcai

doi:10.3390/app11219889

Cited by 16 publications

(2 citation statements)

References 43 publications

(44 reference statements)

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“…Compared with twodimensional display, three-dimensional display technology can provide image content which is closer to the real world, and it is a key technology in the fields of 5G, big data, metaverse, and the Internet of Things [1]. The computational holographic 3D display is considered to be an optical display technology with the potential for change, and its applied ranges include medical, entertainment, scientific research, military, distance education, vehicle display systems, and other fields with broad application prospects [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Implementation of a full-color holographic system using RGB-D salient object detection

Yang

et al. 2023

Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022)

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Recently, a real objects-based full-color holographic display system usually uses a DSLR camera array or depth camera to collect data, and then relies on a spatial light modulator to modulate the input light source for the reconstruction of the 3D scene from the real objects. The main challenges faced by the holographic 3D display were introduced, including limited generation speed and accuracy of the computer-generated holograms, the imperfect performance of the holographic display system. In this research, we generated more effective and accurate point cloud data by developing a 3D saliency detection model in the acquisition module. Object points categorized into depth girds with identical depth values in the red, green, and blue (RGB) channels. In each channel, the depth girds are segmented into M × N parts, and only the effective area of the depth grids will be calculated. Computer-generated holograms (CGHs) are generated from efficient depth grids by using Fast Fourier transform (FFT). Compared to the wave-front recording plane (WRP) and traditional PCG methods, the computational complexity is dramatically reduced. The feasibility of the proposed approaches is established through experiments.

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Section: Introductionmentioning

confidence: 99%

Implementation of a full-color holographic system using RGB-D salient object detection

Yang

et al. 2023

Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022)

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“…Research on deep learning has become increasingly active. Techniques for estimating the depth of a 3D object from a hologram have recently been studied in the holography field [1][2][3][4][5]. However, to the best of our knowledge, the accurate extraction of 3D object information from a hologram has not yet been studied.…”

Section: Introductionmentioning

confidence: 99%

Improving the quality of light‐field data extracted from a hologram using deep learning

Park

2023

ETRI Journal

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We propose a method to suppress the speckle noise and blur effects of the light field extracted from a hologram using a deep‐learning technique. The light field can be extracted by bandpass filtering in the hologram's frequency domain. The extracted light field has reduced spatial resolution owing to the limited passband size of the bandpass filter and the blurring that occurs when the object is far from the hologram plane and also contains speckle noise caused by the random phase distribution of the three‐dimensional object surface. These limitations degrade the reconstruction quality of the hologram resynthesized using the extracted light field. In the proposed method, a deep‐learning model based on a generative adversarial network is designed to suppress speckle noise and blurring, resulting in improved quality of the light field extracted from the hologram. The model is trained using pairs of original two‐dimensional images and their corresponding light‐field data extracted from the complex field generated by the images. Validation of the proposed method is performed using light‐field data extracted from holograms of objects with single and multiple depths and mesh‐based computer‐generated holograms.

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Elemental image array generation based on BVH structure combined with spatial partition and display optimization

Li,

Wang,

Wei

et al. 2024

Displays

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Holographic 3D Display Using Depth Maps Generated by 2D-to-3D Rendering Approach

Cited by 16 publications

References 43 publications

Implementation of a full-color holographic system using RGB-D salient object detection

Implementation of a full-color holographic system using RGB-D salient object detection

Improving the quality of light‐field data extracted from a hologram using deep learning

Elemental image array generation based on BVH structure combined with spatial partition and display optimization

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