Search results for "Integral imaging"

showing 10 items of 73 documents

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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Integral-Imaging display from stereo-Kinect capture

2017

In this paper, we propose a new approach in order to improve the quality of microimages and display them onto an integral imaging monitor. Our main proposal is based on the stereo-hybrid 3D camera system. Originally, hybrid camera system has dissimilarity itself. We interpret our method in order to equalize the hybrid sensor's characteristics and 3D data modification strategy. We generate integral image by using synthetic back-projection mapping method. Finally, we project the integral image onto our proposed display system. We illustrate this procedure with some imaging experiments in order to prove an advantage of our approach.

010302 applied physicsIntegral imagingbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPoint cloudStereo display01 natural sciencesÒptica Aparells i instrumentsImage (mathematics)010309 opticsComputer graphics (images)0103 physical sciences3d cameraComputer visionArtificial intelligencebusinessThree-Dimensional Imaging, Visualization, and Display 2017
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Integral imaging with Fourier-plane recording

2017

Integral Imaging is well known for its capability of recording both the spatial and the angular information of threedimensional (3D) scenes. Based on such an idea, the plenoptic concept has been developed in the past two decades, and therefore a new camera has been designed with the capacity of capturing the spatial-angular information with a single sensor and after a single shot. However, the classical plenoptic design presents two drawbacks, one is the oblique recording made by external microlenses. Other is loss of information due to diffraction effects. In this contribution report a change in the paradigm and propose the combination of telecentric architecture and Fourier-plane recordin…

010302 applied physicsMicrolensDiffractionIntegral imagingPlane (geometry)Computer sciencebusiness.industryComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOblique case01 natural sciencesÒptica Aparells i instruments010309 opticssymbols.namesakeFourier transformOptics0103 physical sciencessymbolsComputer visionDepth of fieldArtificial intelligenceFourier Anàlisi debusinessThree-Dimensional Imaging, Visualization, and Display 2017
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Three-Dimensional Integral-Imaging Display From Calibrated and Depth-Hole Filtered Kinect Information

2016

We exploit the Kinect capacity of picking up a dense depth map, to display static three-dimensional (3D) images with full parallax. This is done by using the IR and RGB camera of the Kinect. From the depth map and RGB information, we are able to obtain an integral image after projecting the information through a virtual pinhole array. The integral image is displayed on our integral-imaging monitor, which provides the observer with horizontal and vertical perspectives of big 3D scenes. But, due to the Kinect depth-acquisition procedure, many depthless regions appear in the captured depth map. These holes spread to the generated integral image, reducing its quality. To solve this drawback we …

0209 industrial biotechnologyIntegral imagingbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyCondensed Matter PhysicsStereo display01 natural sciencesElectronic Optical and Magnetic Materials010309 optics020901 industrial engineering & automationDepth mapCamera auto-calibrationComputer graphics (images)0103 physical sciencesRGB color modelComputer visionBilateral filterArtificial intelligenceElectrical and Electronic EngineeringbusinessParallaxComputingMethodologies_COMPUTERGRAPHICSCamera resectioningJournal of Display Technology
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Enhanced field-of-view integral imaging display using multi-Köhler illumination.

2014

A common drawback in 3D integral imaging displays is the appearance of pseudoimages beyond the viewing angle. These pseudoimages appear when the light rays coming from each elemental image are not passing through the corresponding microlens, and a set of barriers must be used to avoid this flipping effect. We present a pure optical arrangement based on Köhler illumination to generate these barriers thus avoiding the pseudoimages. The proposed system does not use additional lenses to project the elemental images, so no optical aberrations are introduced. As an added benefit, Köhler illumination provides a higher contrast 3D display. This work was supported in part by the Plan Nacional I + D …

3-D displayslight raysField of viewStereo displaySensitivity and SpecificityOpticsImaging Three-DimensionalImage Interpretation Computer-AssistedKöhler illuminationLightingviewing angleoptical arrangementPhysicsMicrolensIntegral imagingbusiness.industryReproducibility of ResultsViewing angleImage EnhancementRayAtomic and Molecular Physics and Opticsintegral imagingLight intensity3D integral imagingfield of viewselemental imagesbusinessArtifactsAlgorithmsOptics express
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Fundamentals of 3D imaging and displays: a tutorial on integral imaging, light-field, and plenoptic systems

2018

There has been great interest in researching and implementing effective technologies for the capture, processing, and display of 3D images. This broad interest is evidenced by widespread international research and activities on 3D technologies. There is a large number of journal and conference papers on 3D systems, as well as research and development efforts in government, industry, and academia on this topic for broad applications including entertainment, manufacturing, security and defense, and biomedical applications. Among these technologies, integral imaging is a promising approach for its ability to work with polychromatic scenes and under incoherent or ambient light for scenarios fro…

Ability to workImatges tridimensionals en medicinaIntegral imagingGeometrical opticsComputer science02 engineering and technologyÒptica021001 nanoscience & nanotechnologyPhysical optics01 natural sciencesAtomic and Molecular Physics and Optics010309 opticsOptical imagingHuman–computer interaction0103 physical sciencesMedical imagingHolographic display0210 nano-technologyLight fieldImatges Processament Tècniques digitals
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Free-depths reconstruction with synthetic impulse response in integral imaging

2015

Integral Imaging provides spatial and angular information of three-dimensional (3D) objects, which can be used both for 3D display and for computational post-processing purposes. In order to recover the depth information from an integral image, several algorithms have been developed. In this paper, we propose a new free depth synthesis and reconstruction method based on the two-dimensional (2D) deconvolution between the integral image and a simplified version of the periodic impulse response function (IRF) of the system. The period of the IRF depends directly on the axial position within the object space. Then, we can retrieve the depth information by performing the deconvolution with compu…

Blind deconvolutionIntegral imagingComputer scienceImage qualitybusiness.industryFast Fourier transformImage processingImpulse (physics)Atomic and Molecular Physics and OpticsOpticsDigital image processingDeconvolutionbusinessImpulse responseOptics Express
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Free segmentation in rendered 3D images through synthetic impulse response in integral imaging

2016

Integral Imaging is a technique that has the capability of providing not only the spatial, but also the angular information of three-dimensional (3D) scenes. Some important applications are the 3D display and digital post-processing as for example, depth-reconstruction from integral images. In this contribution we propose a new reconstruction method that takes into account the integral image and a simplified version of the impulse response function (IRF) of the integral imaging (InI) system to perform a two-dimensional (2D) deconvolution. The IRF of an InI system has a periodic structure that depends directly on the axial position of the object. Considering different periods of the IRFs we …

Blind deconvolutionIntegral imagingbusiness.industrySegmentationComputer visionDeconvolutionArtificial intelligenceImpulse (physics)Stereo displaybusinessReconstruction methodImpulse responseMathematicsSPIE Proceedings
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Area-Based Depth Estimation for Monochromatic Feature-Sparse Orthographic Capture

2018

With the rapid development of light field technology, depth estimation has been highlighted as one of the critical problems in the field, and a number of approaches have been proposed to extract the depth of the scene. However, depth estimation by stereo matching becomes difficult and unreliable when the captured images lack both color and feature information. In this paper, we propose a scheme that extracts robust depth from monochromatic, feature-sparse scenes recorded in orthographic sub-aperture images. Unlike approaches which rely on the rich color and texture information across the sub-aperture views, our approach is based on depth from focus techniques. First, we superimpose shifted …

Computer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)02 engineering and technologyimatges processamentDepth map0202 electrical engineering electronic engineering information engineeringorthographic viewsComputer visionComputingMethodologies_COMPUTERGRAPHICSSignal processingComputer Sciencesbusiness.industryOrthographic projectionmicroscòpia020207 software engineeringintegral imagingDatavetenskap (datalogi)Feature (computer vision)depth from focusComputer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingMonochromatic colorArtificial intelligenceDepth estimationbusinessFocus (optics)Light field2018 26th European Signal Processing Conference (EUSIPCO)
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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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