Acceleration method of computing a compensated phase-added stereogram on a graphic processing unit

Kang, Hoonjong; Yamaguchi, Takeshi; Yoshikawa, Hiroshi; Kim, Seung-Cheol; Kim, Eun-Soo

doi:10.1364/ao.47.005784

Cited by 49 publications

(26 citation statements)

References 11 publications

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“…Occlusion, texture and illumination issues can be handled by computer graphics techniques. Their effective use is possible when the ray casting is applied by spatially dividing the CGH into a set of sub-holograms and building different sets of points or polygons for them [57][58][59].…”

Section: Methods For Computer Generation Of Holographic Fringe Patternsmentioning

confidence: 99%

“…The improvements developed to compensate the error caused by the frequency mapping are based on the two possible ways for steering control-phase compensation and finer sampling of the spectrum attached to each segment. The functional form of the developed approximations is shown in Table 1 which gives the fringe pattern at a single spatial frequency in the segment ðm, nÞ; ðξ finer sampling were merged into a single step in the algorithm ACPAS [57] which yielded quality of reconstruction very close to the reference model. The best results are provided by the FPAS algorithm which is characterized with better phase compensation than the previous methods.…”

Section: Holographic Materials and Optical Systemsmentioning

confidence: 99%

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3D Capture and 3D Contents Generation for Holographic Imaging

Stoykova¹,

Kang²,

Kim³

et al. 2017

Holographic Materials and Optical Systems

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The intrinsic properties of holograms make 3D holographic imaging the best candidate for a 3D display. The holographic display is an autostereoscopic display which provides highly realistic images with unique perspective for an arbitrary number of viewers, motion parallax both vertically and horizontally, and focusing at different depths. The 3D content generation for this display is carried out by means of digital holography. Digital holography implements the classic holographic principle as a two-step process of wavefront capture in the form of a 2D interference pattern and wavefront reconstruction by applying numerically or optically a reference wave. The chapter follows the two main tendencies in forming the 3D holographic content-direct feeding of optically recorded digital holograms to a holographic display and computer generation of interference fringes from directional, depth and colour information about the 3D objects. The focus is set on important issues that comprise encoding of 3D information for holographic imaging starting from conversion of optically captured holographic data to the display data format, going through different approaches for forming the content for computer generation of holograms from coherently or incoherently captured 3D data and finishing with methods for the accelerated computing of these holograms.

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Section: Methods For Computer Generation Of Holographic Fringe Patternsmentioning

confidence: 99%

Section: Holographic Materials and Optical Systemsmentioning

confidence: 99%

3D Capture and 3D Contents Generation for Holographic Imaging

Stoykova¹,

Kang²,

Kim³

et al. 2017

Holographic Materials and Optical Systems

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“…The point cloud comprises collection of selfemitting points, and the generation of holograms is usually based on a Rayleigh -Sommerfeld diffraction model to create a true 3D impact [10,11]. However, fast algorithms developed to overcome the high computational complexity of the rigorous approach can be applied to accelerate generation of holograms [12].…”

Section: Holographic Display Of Generated 3d Point Cloud Objectsmentioning

confidence: 99%

Optical reconstruction of transparent objects with phase-only SLMs

et al. 2013

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Three approaches for visualization of transparent micro-objects from holographic data using phase-only SLMs are described. The objects are silicon micro-lenses captured in the near infrared by means of digital holographic microscopy and a simulated weakly refracting 3D object with size in the micrometer range. In the first method, profilometric/tomographic data are retrieved from captured holograms and converted into a 3D point cloud which allows for computer generation of multi-view phase holograms using Rayleigh-Sommerfeld formulation. In the second method, the microlens is computationally placed in front of a textured object to simulat e the image of the textured data as seen through the lens. In the third method, direct optical reconstruction of the micrometer object through a digital lens by modifying the phase with the Gerchberg-Saxton algorithm is achieved.

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“…To decrease the calculation time, many methods have been proposed. For example, there are fast calculation methods using a graphics processing unit or a special-purpose computer [1,2]. Fast calculation algorithms, such as a method that uses a lookup table, and a technique that uses 3D Affine transforms of basic object light have also been reported [3,4].…”

Section: Introductionmentioning

confidence: 99%

Calculation method of reflectance distributions for computer-generated holograms using the finite-difference time-domain method

et al. 2011

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The research on reflectance distributions in computer-generated holograms (CGHs) is particularly sparse, and the textures of materials are not expressed. Thus, we propose a method for calculating reflectance distributions in CGHs that uses the finite-difference time-domain method. In this method, reflected light from an uneven surface made on a computer is analyzed by finite-difference time-domain simulation, and the reflected light distribution is applied to the CGH as an object light. We report the relations between the surface roughness of the objects and the reflectance distributions, and show that the reflectance distributions are given to CGHs by imaging simulation.

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Acceleration method of computing a compensated phase-added stereogram on a graphic processing unit

Cited by 49 publications

References 11 publications

3D Capture and 3D Contents Generation for Holographic Imaging

3D Capture and 3D Contents Generation for Holographic Imaging

Optical reconstruction of transparent objects with phase-only SLMs

Calculation method of reflectance distributions for computer-generated holograms using the finite-difference time-domain method

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