Search results for " Vision"

showing 10 items of 2709 documents

Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques

2021

A correct food tray sealing is required to preserve food properties and safety for consumers. Traditional food packaging inspections are made by human operators to detect seal defects. Recent advances in the field of food inspection have been related to the use of hyperspectral imaging technology and automated vision-based inspection systems. A deep learning-based approach for food tray sealing fault detection using hyperspectral images is described. Several pixel-based image fusion methods are proposed to obtain 2D images from the 3D hyperspectral image datacube, which feeds the deep learning (DL) algorithms. Instead of considering all spectral bands in region of interest around a contamin…

Envasos de plàsticComputer sciencehyperspectral imagingComputer applications to medicine. Medical informaticsR858-859.7Convolutional neural networkArticleDeep belief networkPhotographyRadiology Nuclear Medicine and imagingElectrical and Electronic EngineeringTR1-1050Extreme learning machineImage fusiondata fusionbusiness.industryDeep learningHyperspectral imagingdeep learningPattern recognitionAliments ConservacióQA75.5-76.95Sensor fusionComputer Graphics and Computer-Aided DesignAutoencoderfault detectionElectronic computers. Computer scienceComputer Vision and Pattern RecognitionArtificial intelligenceTecnologia dels alimentsbusinessfood packagingJournal of Imaging
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Kernel image similarity criterion

2011

This paper presents a family of metrics for assessing image similarity. The methods use the Hilbert-Schmidt Independence Criterion (HSIC) to estimate nonlinear statistical dependence between multidimensional images. The proposed methods have very good theoretical and practical properties. We illustrate the performance in evaluating the quality of natural photographic images, hyperspectral images under different noise levels, in synthetic multiresolution problems, and real pansharpening products.

Estimation theorybusiness.industryHyperspectral imagingPattern recognitionGrayscaleNonlinear systemKernel methodSimilarity criterionKernel (image processing)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligencebusinessImage resolutionMathematics2011 IEEE International Geoscience and Remote Sensing Symposium
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Estimation of the Velocity of a Walking Person in Non-Stationary Indoor Environments from the Received RF Signal

2018

Accurate estimation of the time-variant (TV) velocity, i.e., TV speed and TV direction of motion, of walking persons in indoor environment is of great importance in a variety of wireless indoor applications. This paper presents a novel method for estimating the velocity of a walking person in three-dimensional indoor environments, which are assumed to be equipped with a distributed 3 × 3 multiple-input multiple-output (MIMO) system. The approach estimates the TV speed, TV vertical angle-of-motion (VAOM), and TV horizontal angle-of-motion (HAOM) by fitting the spectrogram of the complex channel gain of a non-stationary indoor channel model to the spectrogram obtained from the received radio …

EstimationComputer sciencebusiness.industryMIMO020206 networking & telecommunications020207 software engineering02 engineering and technologyChannel modelsMotion (physics)Channel gain0202 electrical engineering electronic engineering information engineeringSpectrogramWirelessComputer visionArtificial intelligenceRadio frequencybusiness
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Enhancing TIR Image Resolution via Bayesian Smoothing for IRRISAT Irrigation Management Project

2013

Accurate estimation of physical quantities depends on the availability of High Resolution (HR) observations of the Earth surface. However, due to the unavoidable tradeoff between spatial and time resolution, the acquisition instants of HR data hardly coincides with those required by the estimation algorithms. A possible solution consists in constructing a synthetic HR observation at a given time k by exploiting Low Resolution (LR) and HR data acquired at different instants. In this work we recast this issue as a smoothing problem, thus focusing on cases in which observations acquired both before and after time k are available. The proposed approach is validated on a region of interest for t…

EstimationIrrigation Managementbusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBrightness TemperatureBayesian SmoothingThermal SharpeningBayesian smoothingGeographyRegion of interestMultitemporal AnalysiKey (cryptography)thermal infraredComputer visionArtificial intelligencebusinessIrrigation managementImage resolutionAlgorithmMultisensor Data FusionSmoothingSettore ICAR/06 - Topografia E CartografiaPhysical quantity
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On the Estimation of the Radial Distance of a Moving Person in Indoor Environments from the Demodulated Response of LFMCW Radars

2021

Estimationbusiness.industryComputer scienceComputer visionArtificial intelligencebusiness2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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noRANSAC for fundamental matrix estimation

2011

The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry [10]. Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix. In this paper two new contributes are presented: a new normalized epipolar error measure which takes into account the shape of the features used as matches [17] and a new strategy to compare fundamental matrices. The proposed error measure gives good results and it does not depend on the image scale. Moreover, the new evaluation strategy describes a valid tool to compare diffe rent RANSAC-based methods because it does not re…

Evaluation strategyGround truthSettore INF/01 - Informaticabusiness.industryimage features epipolar geometry ransac fundamental matrix estimationEight-point algorithmEpipolar geometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage scaleRANSACOutlierComputer visionArtificial intelligencebusinessFundamental matrix (computer vision)AlgorithmMathematicsProcedings of the British Machine Vision Conference 2011
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The Large Observatory for X-ray Timing (LOFT)

2012

High-time-resolution X-ray observations of compact objects provide direct access to strong-field gravity, to the equation of state of ultra-dense matter and to black hole masses and spins. A 10 m^2-class instrument in combination with good spectral resolution is required to exploit the relevant diagnostics and answer two of the fundamental questions of the European Space Agency (ESA) Cosmic Vision Theme "Matter under extreme conditions", namely: does matter orbiting close to the event horizon follow the predictions of general relativity? What is the equation of state of matter in neutron stars? The Large Observatory For X-ray Timing (LOFT), selected by ESA as one of the four Cosmic Vision M…

Event horizonX-ray timingMission7. Clean energy01 natural sciencesneutron starsT175 Industrial research. Research and developmentBINARIESSettore FIS/05 - Astronomia E AstrofisicaALICESILICON DRIFT DETECTORObservatoryEQUATIONneutron star010303 astronomy & astrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Astrophysics::Instrumentation and Methods for AstrophysicsMissions X-ray timing compact objects black holes neutron starscompact objectsAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaPROPORTIONAL COUNTER[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Active galactic nucleusCosmic VisionX-ray astronomy; high time variabilityAstrophysics::High Energy Astrophysical Phenomenablack holes; compact objects; Missions; neutron stars; X-ray timing;FOS: Physical sciencesMissionsX-ray astronomy0103 physical sciencesOSCILLATIONSInstrumentation and Methods for Astrophysics (astro-ph.IM)Supermassive black holehigh time variability010308 nuclear & particles physicsAstronomyCONSTRAINTSAstronomy and Astrophysicsblack holesGalaxyBlack holeNeutron starSpace and Planetary ScienceQB460-466 AstrophysicsDISCOVERYBLACK-HOLESUPERAGILE
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Taking Advantage of Selective Change Driven Processing for 3D Scanning

2013

This article deals with the application of the principles of SCD (Selective Change Driven) vision to 3D laser scanning. Two experimental sets have been implemented: one with a classical CMOS (Complementary Metal-Oxide Semiconductor) sensor, and the other one with a recently developed CMOS SCD sensor for comparative purposes, both using the technique known as Active Triangulation. An SCD sensor only delivers the pixels that have changed most, ordered by the magnitude of their change since their last readout. The 3D scanning method is based on the systematic search through the entire image to detect pixels that exceed a certain threshold, showing the SCD approach to be ideal for this applicat…

Event-based visionLaser scanningComputer scienceTransducers3d scanninglcsh:Chemical technologySensitivity and SpecificityBiochemistryArticleAnalytical Chemistrylaw.inventionPhotometryPhotometry (optics)Imaging Three-DimensionallawInformàticaNyquist–Shannon sampling theoremComputer visionlcsh:TP1-11853D scanningElectrical and Electronic Engineeringhigh-speed visual acquisitionInstrumentationPixelbusiness.industryLasers3D reconstructionReproducibility of ResultsSignal Processing Computer-AssistedEquipment DesignImage EnhancementLaserAtomic and Molecular Physics and OpticsEquipment Failure AnalysisTransducerSemiconductorsCMOSArtificial intelligencebusinessHigh-speed visual acquisitionevent-based visionSensors
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Universal natural shapes: From unifying shape description to simple methods for shape analysis and boundary value problems

2012

Gielis curves and surfaces can describe a wide range of natural shapes and they have been used in various studies in biology and physics as descriptive tool. This has stimulated the generalization of widely used computational methods. Here we show that proper normalization of the Levenberg-Marquardt algorithm allows for efficient and robust reconstruction of Gielis curves, including self-intersecting and asymmetric curves, without increasing the overall complexity of the algorithm. Then, we show how complex curves of k-type can be constructed and how solutions to the Dirichlet problem for the Laplace equation on these complex domains can be derived using a semi-Fourier method. In all three …

Evolutionary algorithmlcsh:MedicineGeometryBioinformaticsCurvature[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Plant Genetics01 natural sciences03 medical and health sciencessymbols.namesake[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]Non-Euclidean geometryApplied mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Boundary value problemBounday Value Problem0101 mathematicslcsh:ScienceBiologyMathematical ComputingGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)030304 developmental biologyLaplace's equationPhysicsDirichlet problem0303 health sciencesMultidisciplinaryPhysicsApplied Mathematicslcsh:R010102 general mathematicsComputational Biology[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Laplace equationModels TheoreticalGielis CurvesFourier analysisComputer Sciencesymbolslcsh:QEngineering sciences. TechnologyAlgorithmsMathematicsShape analysis (digital geometry)Research ArticleDevelopmental BiologyComputer Modeling
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Jay De Feo's Forgotten Roses: The Wise and Foolish Virgins

2009

in 2012–2013 the Whitney Museum of American Art will feature a retrospective exhibition of Jay De Feo's works. In view of this, it should be noted that two of her lesser-known monumental paintings ...

ExhibitionHistoryPaintingVisual Arts and Performing ArtsFeature (computer vision)media_common.quotation_subjectVisual art of the United StatesArt historyArtmedia_commonKonsthistorisk Tidskrift/Journal of Art History
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