Search results for "Passive sensing"

showing 5 items of 5 documents

Design of Implanted RFID Tags for Passive Sensing of Human Body: The STENTag

2012

Numerical processing of passive UHF-RFID tags' response may provide physical insight about the hosting object or about the nearby environment. This idea is here extended to implanted antennas with the purpose to sense the evolution of some human physiological and pathological process involving a local change of effective permittivity inside the body. The goal is to understand how master the design of this class of devices taking into account both communication and sensing capabilities. An ad hoc design methodology is here presented and discussed by means of a realistic medical case concerning the modification of an endo-vascular device to achieve a STENTag able to sense the state of the ves…

PermittivityRFIDClass (computer programming)RFID Implanted sensorComputer sciencebusiness.industryProcess (computing)Settore ING-INF/02 - Campi ElettromagneticiObject (computer science)Passive sensingImplantable antenna RFID sensorElectronic engineeringState (computer science)Electrical and Electronic EngineeringTelecommunicationsbusinessImplanted sensor
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Automatic target recognition using 3D passive sensing and imaging with independent component analysis

2009

We present an overview of a method using Independent Component Analysis (ICA) and 3D Integral Imaging (II) technique to recognize 3D objects at different orientations. This method has been successfully applied to the recognition and classification of 3D scenes.

Integral imagingComputingMethodologies_PATTERNRECOGNITIONAutomatic target recognitionComputer sciencebusiness.industryPattern recognition (psychology)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer visionPattern recognitionArtificial intelligencebusinessIndependent component analysisPassive sensingSPIE Proceedings
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Analysis of the radar vegetation index and assessment of potential for improvement

2018

The Radar Vegetation Index (RVI) is widely applied to indicate vegetation cover. The index includes the backscattering intensities of co- and cross-polarization that do not only contain information coming from vegetation scattering at longer wavelength (L-band), but also from the soil underneath. A forward modelling approach using active and passive microwave-derived parameters to obtain the scattering contribution of the soil is pursued. The idea of this research study is a subtraction of the attenuated soil scattering contribution from the measured backscattering intensities, to provide a clean vegetation-based solution, called improved RVI (RVII). For latter analysis, the vegetation volu…

010504 meteorology & atmospheric sciencesmicrowave[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil science02 engineering and technology01 natural scienceslaw.inventionVegetation coverlawmedicineRange (statistics)RadarComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarVegetationScatteringSMAP15. Life on landWavelength[SDE]Environmental SciencesVegetation water contentEnvironmental scienceactive-passive sensingmedicine.symptomVegetation IndexVegetation (pathology)Cartography
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Depth Enhancement by Fusion for Passive and Active Sensing

2012

This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring due to homogeneous regions, occlusions, and shadowing. In this work, we use recent depth enhancement filters intended for Time-of-Flight cameras, and adapt them to alternative depth sensing modalities, both active using an RGB-D camera and passive using a dense stereo camera. To that end, we propose …

Homogeneous regionsComputer scienceActive SensingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensing systemsTime-of-flight camerasPassive and active sensing: Electrical & electronics engineering [C06] [Engineering computing & technology]Depth mapTriangulation methodComputer vision: Computer science [C05] [Engineering computing & technology]: Ingénierie électrique & électronique [C06] [Ingénierie informatique & technologie]Signal processingStereo camerasPassive sensingbusiness.industrySensorsPassive filtersTriangulation (computer vision)Depth enhancementData fusionSensor fusionCameras: Sciences informatiques [C05] [Ingénierie informatique & technologie]Depth sensingSpecial treatmentsDepth valueRGB color modelComputer visionArtificial intelligenceEnhanced Data Rates for GSM EvolutionDepth MapbusinessDepth measurementsStereo cameraStereo cameras
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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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