Search results for "ndc"

showing 10 items of 1025 documents

Relay optics for enhanced integral imaging

2007

Integral imaging provides with three-dimensional (3D) images. This technique works perfectly with incoherent light and does not need the use of any special glasses nor stabilization techniques. Here we present relay systems for both acquire and display 3D images. Some other important challenges are revisited.

Integral imagingGeographyOpticsRelaylawRelay systemsbusiness.industryComputer Science::Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONbusinessThree dimensional modellaw.inventionSPIE Proceedings
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Three Dimensional Sensing, Visualization, and Display

2008

This keynote address will present an overview of recent advances in Three-dimensional (3D) sensing, imaging and display. We shall discuss both passive sensing integral imaging and active sensing computational holographic imaging for 3D visualization, display, and image recognition. Mathematical analysis, computer simulations, and optical experimental results will be presented. There are numerous applications of these technologies including medical 3D imaging, 3D visualization, 3D identification and inspection, 3D television, 3D video, 3D multimedia, interactive communication, education, entertainment, and commerce.

Integral imagingIdentification (information)Computer sciencelawComputer graphics (images)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHolographyHolographic imagingImaging scienceThree dimensional televisionPassive sensinglaw.inventionVisualization2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video
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Digital slicing of 3D scenes by Fourier filtering of integral images

2008

We present a novel technique to extract depth information from 3D scenes recorded using an Integral Imaging system. The technique exploits the periodic structure of the recorded integral image to implement a Fourier-domain filtering algorithm. A proper projection of the filtered integral image permits reconstruction of different planes that constitute the 3D scene. The main feature of our method is that the Fourier-domain filtering allows the reduction of out-of-focus information, providing the InI system with real optical sectioning capacity.

Integral imagingOptical sectioningbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFilter (signal processing)Iterative reconstructionSlicingAtomic and Molecular Physics and OpticsReduction (complexity)symbols.namesakeOpticsFourier transformFeature (computer vision)Computer Science::Computer Vision and Pattern RecognitionsymbolsbusinessProjection (set theory)Optics Express
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Orthoscopic long-focal-depth 3D integral imaging

2006

Integral imaging systems are imaging devices that provide 3D images of 3D objects. When integral imaging systems work in their standard configuration the provided reconstructed images are pseudoscopic; that is, are reversed in depth. In this paper we present, a technique for formation of real, undistorted, orthoscopic integral images by direct pickup. The technique is based on the use of a proper relay system and a global mapping of pixels of the elemental-images set. Simulated imaging experiments are presented to support our proposal.

Integral imagingOpticsPixelbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer visionPickupArtificial intelligenceIterative reconstructionbusinessDisplay deviceSPIE Proceedings
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Optically-corrected elemental images for undistorted Integral image display

2006

Conventional macro objectives are generally used as relay systems in the capture stage in Integral Imaging. This choice leads to microimage overlap and shift, which produce undesirable effects on the reconstructed three-dimensional images, such as loss in resolution and image distortions. In this paper, we propose and demonstrate a new architecture for the capture stage. Our method uses a telecentric relay system to overcome the conventional drawbacks. Experiments conducted with our system show an important improvement in the quality of displayed images.

Integral imagingOpticsQuality (physics)business.industryComputer scienceResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionStage (hydrology)businessAtomic and Molecular Physics and OpticsImage (mathematics)Optics Express
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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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Optimized integral imaging display by global pixel mapping

2006

Integral imaging systems are imaging devices that provide 3D images of 3D objects. When integral imaging systems work in their standard configuration the provided reconstructed images are pseudoscopic; that is, are reversed in depth. In this paper we present a technique for formation of real, undistorted, orthoscopic integral images by direct pickup. The technique is based on a global mapping of pixels of an elemental-images set. Simulated imaging experiments are presented.

Integral imagingPixelComputer sciencePixel mappingbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImaging spectrometerIterative reconstructionSet (abstract data type)Computer graphics (images)Computer visionPickupArtificial intelligenceImage sensorbusinessSPIE Proceedings
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Recent Advances in the Capture and Display of Macroscopic and Microscopic 3-D Scenes by Integral Imaging

2017

The capture and display of images of 3-D scenes under incoherent and polychromatic illumination is currently a hot topic of research, due to its broad applications in bioimaging, industrial procedures, military and surveillance, and even in the entertainment industry. In this context, Integral Imaging (InI) is a very competitive technology due to its capacity for recording with a single exposure the spatial-angular information of light-rays emitted by the 3-D scene. From this information, it is possible to calculate and display a collection of horizontal and vertical perspectives with high depth of field. It is also possible to calculate the irradiance of the original scene at different dep…

Integral imagingSingle exposurebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEntertainment industryContext (language use)Òptica Aparells i instrumentsMicroscòpiaGeographyComputer graphics (images)Computer visionArtificial intelligenceDepth of fieldElectrical and Electronic EngineeringbusinessFocus (optics)Imatges ProcessamentComputingMethodologies_COMPUTERGRAPHICSProceedings of the IEEE
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Computation of microimages for plenoptic display

2014

We report a new algorithm for the generation of the microimages ready for their projection into an integral imaging monitor. The algorithm is based in the transformation properties of the plenoptic field captured with an array of digital cameras. We show that a small number of cameras can produce the microimages for displaying 3D scenes with resolution and parallax fully adapted to the monitor features.

Integral imagingTransformation (function)Computer sciencebusiness.industryComputationComputer graphics (images)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer visionArtificial intelligenceParallaxProjection (set theory)businessImage resolution2014 International Conference on 3D Imaging (IC3D)
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3D integral imaging display by smart pseudoscopic-to-orthoscopic conversion (SPOC).

2010

Previously, we reported a digital technique for formation of real, non-distorted, orthoscopic integral images by direct pickup. However the technique was constrained to the case of symmetric image capture and display systems. Here, we report a more general algorithm which allows the pseudoscopic to orthoscopic transformation with full control over the display parameters so that one can generate a set of synthetic elemental images that suits the characteristics of the Integral-Imaging monitor and permits control over the depth and size of the reconstructed 3D scene.

Integral imagingbusiness.industryComputer scienceAperture synthesisComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONReproducibility of ResultsImage EnhancementSensitivity and SpecificityAtomic and Molecular Physics and OpticsTransformation (function)OpticsImaging Three-DimensionalImage Interpretation Computer-AssistedComputer visionArtificial intelligenceImage sensorbusinessImage resolutionAlgorithmsOptics express
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