0000000000249519

AUTHOR

Myungjin Cho

0000-0003-2896-770x

showing 5 related works from this author

Three-dimensional imaging system with both improved lateral resolution and depth of field considering non-uniform system parameters

2018

In this paper, we propose a new 3D passive image sensing and visualization technique to improve lateral resolution and depth of field (DoF) of integral imaging simultaneously. There is a resolution trade-off between lateral resolution and DoF in integral imaging. To overcome this issue, a large aperture and a small aperture can be used to record the elemental images to reduce the diffraction effect and extend the DoF, respectively. Therefore, in this paper, we utilize these two pickup concepts with a non-uniform camera array. To show the feasibility of our proposed method, we implement an optical experiment. For comparison in details, we calculate the peak signal-to-noise ratio (PSNR) as th…

Integral imagingbusiness.industryComputer scienceResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyLateral resolution01 natural sciencesAtomic and Molecular Physics and OpticsVisualization010309 optics020210 optoelectronics & photonicsOptics0103 physical sciences0202 electrical engineering electronic engineering information engineeringDepth of fieldElectrical and Electronic EngineeringbusinessEngineering (miscellaneous)Image resolutionComputingMethodologies_COMPUTERGRAPHICSApplied Optics
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Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels

2018

Abstract In this paper, we propose a new computational volumetric reconstruction technique of three-dimensional (3D) integral imaging for depth resolution enhancement by using non-uniform and integer-valued shifting pixels. In a typical integral imaging system, 3D images can be recorded and visualized using a lenslet array. In previous studies, many computational reconstruction techniques such as computational volumetric reconstruction and pixel of elemental images rearrangement technique (PERT) have been reported. However, a computational volumetric reconstruction technique has low visual quality and depth resolution because low-resolution elemental images and uniformly distributed shiftin…

010302 applied physicsIntegral imagingPixelLenslet arrayComputer sciencebusiness.industryMechanical EngineeringResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONÒptica01 natural sciencesAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsVolumetric reconstruction010309 opticsQuality (physics)0103 physical sciencesComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessImatges Processament Tècniques digitalsComputingMethodologies_COMPUTERGRAPHICS
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GPU-accelerated integral imaging and full-parallax 3D display using stereo-plenoptic camera system

2019

Abstract In this paper, we propose a novel approach to produce integral images ready to be displayed onto an integral-imaging monitor. Our main contribution is the use of commercial plenoptic camera, which is arranged in a stereo configuration. Our proposed set-up is able to record the radiance, spatial and angular, information simultaneously in each different stereo position. We illustrate our contribution by composing the point cloud from a pair of captured plenoptic images, and generate an integral image from the properly registered 3D information. We have exploited the graphics processing unit (GPU) acceleration in order to enhance the integral-image computation speed and efficiency. We…

Computer scienceGraphics processing unitPoint cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyStereo display01 natural sciences010309 opticsAcceleration0103 physical sciencesComputer visionElectrical and Electronic EngineeringProjection (set theory)Integral imagingbusiness.industryMechanical Engineering021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsÒptica Aparells i instrumentsArtificial intelligence0210 nano-technologyParallaxbusinessStereo cameraImatges Processament
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Multidimensional Integral Imaging for Sensing, Visualization, and Recognition in Degraded Environments

2019

An overview of multidimensional integral imaging for sensing, visualization, and recognition in degraded environments is presented. Applications include 3D visualization, photon starved imaging, material inspection, IR imaging, passive depth estimation, automated human gesture recognition, and long-range imaging.

Integral imagingPhotonThree dimensional imagingbusiness.industryGesture recognitionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer visionArtificial intelligencebusinessPhoton countingVisualizationImaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)
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Multidimensional Integral Imaging and Recognition in Degraded Environments

2018

We present an overview of our work on multidimensional integral imaging systems. Integral-imaging-based multidimensional optical sensing and imaging will be described for 3-D visualization, seeing through obscurations, material inspection, augmented reality, biomedical applications, and object recognition from microscales to long-range imaging.

Integral imagingbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionPhoton countingVisualizationThree dimensional imagingOptical sensingMedical imagingAugmented realityComputer visionArtificial intelligencebusinessLatin America Optics and Photonics Conference
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