Search results for "GEP"

showing 10 items of 1017 documents

A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison

2020

Abstract The recent developments of information technologies, and the consequent need for access to distributed services and resources, require robust and reliable authentication systems. Biometric systems can guarantee high levels of security and multimodal techniques, which combine two or more biometric traits, warranting constraints that are more stringent during the access phases. This work proposes a novel multimodal biometric system based on iris and retina combination in the spatial domain. The proposed solution follows the alignment and recognition approach commonly adopted in computational linguistics and bioinformatics; in particular, features are extracted separately for iris and…

Biometric systemComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONspatial domain biometric featuresbiometric authentication system4603 Computer Vision and Multimedia Computation46 Information and Computing SciencesmedicineIris (anatomy)multimodal systemRetinabusiness.industrymultimodal retina-iris biometric systemLevenshtein distancePattern recognitionbiometric recognition systemQA75.5-76.95Levenshtein distanceretina and iris featuresmedicine.anatomical_structureFeature (computer vision)Electronic computers. Computer scienceSignal ProcessingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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Novel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/926170 A novel iris biometric watermarking scheme is proposed focusing on iris recognition instead of the traditional watermark for increasing the security of the digital products. The preprocess of iris image is to be done firstly, which generates the iris biometric template from person's eye images. And then the templates are to be on discrete cosine transform; the value of the discrete cosine is encoded to BCH error control coding. The host image is divided into four areas equally correspondingly. The BCH codes are embedded in the sing…

BiometricsArticle SubjectGeneral MathematicsIris recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEngineering (all)Robustness (computer science)Computer Science::MultimediaDiscrete cosine transformMathematics (all)Computer visionDigital watermarkingTransform codingMathematicsComputer Science::Cryptography and Securitybusiness.industrylcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringWatermarkVDP::Technology: 500::Information and communication technology: 550lcsh:QA1-939ComputingMethodologies_PATTERNRECOGNITIONlcsh:TA1-2040Computer Science::Computer Vision and Pattern RecognitionArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)BCH codeMathematics (all); Engineering (all)Mathematical Problems in Engineering
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Local Directional Multi Radius Binary Pattern

2018

Face recognition becomes an important task performed routinely in our daily lives. This application is encouraged by the wide availability of powerful and low-cost desktop and embedded computing systems, while the need comes from the integration in too much real world systems including biometric authentication, surveillance, human-computer interaction, and multimedia management. This article proposes a new variant of LBP descriptor referred as Local Directional Multi Radius Binary Pattern (LDMRBP) as a robust and effective face descriptor. The proposed LDMRBP operator is built using new neighborhood topology and new pattern encoding scheme. The adopted face recognition system consists of th…

BiometricsContextual image classificationbusiness.industryComputer scienceFeature vectorFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsPattern recognition02 engineering and technologyBinary patternFacial recognition systemComputingMethodologies_PATTERNRECOGNITIONHistogram0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessFace detection
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Sparse Deconvolution Using Support Vector Machines

2008

Sparse deconvolution is a classical subject in digital signal processing, having many practical applications. Support vector machine (SVM) algorithms show a series of characteristics, such as sparse solutions and implicit regularization, which make them attractive for solving sparse deconvolution problems. Here, a sparse deconvolution algorithm based on the SVM framework for signal processing is presented and analyzed, including comparative evaluations of its performance from the points of view of estimation and detection capabilities, and of robustness with respect to non-Gaussian additive noise. Publicado

Blind deconvolutionSignal processingTelecomunicacionesSparse deconvolutionSupport vector machinesDual modelsbusiness.industryComputer sciencelcsh:ElectronicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:TK7800-8360Pattern recognitionSparse approximationRegularization (mathematics)lcsh:TelecommunicationSupport vector machineRobustness (computer science)lcsh:TK5101-6720Sysmology3325 Tecnología de las TelecomunicacionesArtificial intelligenceDeconvolutionbusinessDigital signal processing
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A sensor-data-based denoising framework for hyperspectral images

2015

Many denoising approaches extend image processing to a hyperspectral cube structure, but do not take into account a sensor model nor the format of the recording. We propose a denoising framework for hyperspectral images that uses sensor data to convert an acquisition to a representation facilitating the noise-estimation, namely the photon-corrected image. This photon corrected image format accounts for the most common noise contributions and is spatially proportional to spectral radiance values. The subsequent denoising is based on an extended variational denoising model, which is suited for a Poisson distributed noise. A spatially and spectrally adaptive total variation regularisation term…

Blind deconvolution[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingHyperspectral imagingAnisotropic diffusionComputer scienceNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology01 natural sciences010309 opticsOptics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesdenoising0202 electrical engineering electronic engineering information engineeringbusiness.industryHyperspectral imagingcomputer.file_formatNon-local meansAtomic and Molecular Physics and OpticsLight intensityFull spectral imagingComputer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingImage file formatsNoise (video)businesscomputer
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Corresponding-pair procedure: a new approach to simulation of dichromatic color perception.

2004

The dichromatic color appearance of a chromatic stimulus T can be described if a stimulus S is found that verifies that a normal observer experiences the same sensation viewing S as a dichromat viewing T. If dichromatic and normal versions of the same color vision model are available, S can be computed by applying the inverse of the normal model to the descriptors of T obtained with the dichromatic model. We give analytical form to this algorithm, which we call the corresponding-pair procedure. The analytical form highlights the requisites that a color vision model must verify for this procedure to be used. To show the capabilities of the method, we apply the algorithm to different color vi…

BrightnessVisual perceptionComputer sciencebusiness.industryColor visionColor normalizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balanceColor spaceAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsColor modelOpticsComputer visionComputer Vision and Pattern RecognitionChromatic scaleArtificial intelligencebusinessJournal of the Optical Society of America. A, Optics, image science, and vision
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A Geometric Algorithm for Ray/Bézier Surfaces Intersection Using Quasi-Interpolating Control Net

2008

In this paper, we present a new geometric algorithm to compute the intersection between a ray and a rectangular Bezier patch. The novelty of our approach resides in the use of bounds of the difference between a Bezier patch and its quasi-interpolating control net. The quasi-interpolating polygon of a Bezier surface of arbitrary degree approximates the limit surface within a precision that is function of the second order difference of the control points, which allows for very simple projections and 2D intersection tests to determine sub-patches containing a potential intersection. Our algorithm is simple, because it only determines a 2D parametric interval containing the solution, and effici…

Bézier surfaceStatistical classificationSpline (mathematics)Computer Science::GraphicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBasis functionAlgorithm designBézier curveAlgorithmComputingMethodologies_COMPUTERGRAPHICSInterpolationMathematicsParametric statistics2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
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Transverse-momentum-dependent Multiplicities of Charged Hadrons in Muon-Deuteron Deep Inelastic Scattering

2017

A semi-inclusive measurement of charged hadron multiplicities in deep inelastic muon scattering off an isoscalar target was performed using data collected by the COMPASS Collaboration at CERN. The following kinematic domain is covered by the data: photon virtuality $Q^{2}>1$ (GeV/$c$)$^2$, invariant mass of the hadronic system $W > 5$ GeV/$c^2$, Bjorken scaling variable in the range $0.003 < x < 0.4$, fraction of the virtual photon energy carried by the hadron in the range $0.2 < z < 0.8$, square of the hadron transverse momentum with respect to the virtual photon direction in the range 0.02 (GeV/$c)^2 < P_{\rm{hT}}^{2} < 3$ (GeV/$c$)$^2$. The multiplicities are pres…

CERN LabComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATIONMULTIPLICITIESdimension: 3PT DEPENDENTComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFOS: Physical sciencesComputerApplications_COMPUTERSINOTHERSYSTEMStarget: isoscalarmuon deuteron: deep inelastic scattering[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]nucl-extransverse momentum dependencehadron: transverse momentumSIDISCOMPASSGeneralLiterature_MISCELLANEOUSHigh Energy Physics - Experimentscaling: BjorkenSubatomär fysikcharged particle: multiplicityHigh Energy Physics - Experiment (hep-ex)[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]mass: hadronicSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Physics - Experiment[ PHYS.NEXP ] Physics [physics]/Nuclear Experiment [nucl-ex]Nuclear Experiment (nucl-ex)quantum chromodynamics: perturbation theoryNuclear ExperimentNuclear ExperimentDIShep-exhadron: multiplicityeffect: nonperturbativeperturbation theory: higher-orderCERN SPSphoton: energysemi-inclusive reactionComputingMethodologies_PATTERNRECOGNITIONkinematicsDIS; SIDIS; MULTIPLICITIES; PT DEPENDENTHigh Energy Physics::ExperimentParticle Physics - Experimentexperimental resultsphoton: virtual
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A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

2012

H.264/AVC is the most recent predictive video compression standard to outperform other existing video coding standards by means of higher computational complexity. In recent years, heterogeneous computing has emerged as a cost-efficient solution for high-performance computing. In the literature, several algorithms have been proposed to accelerate video compression, but so far there have not been many solutions that deal with video codecs using heterogeneous systems. This paper proposes an algorithm to perform H.264/AVC inter prediction. The proposed algorithm performs the motion estimation, both with full-pixel and sub-pixel accuracy, using CUDA to assist the CPU, obtaining remarkable time …

CUDAComputational complexity theoryComputer scienceMotion estimationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCodecSymmetric multiprocessor systemImage processingData_CODINGANDINFORMATIONTHEORYCentral processing unitParallel computingData compression
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Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables

2015

In this paper we examine the feasibility of data from unmanned aerial vehicle (UAV)-borne aerial imagery in stand-level forest inventory. As airborne sensor platforms, UAVs offer advantages cost and flexibility over traditional manned aircraft in forest remote sensing applications in small areas, but they lack range and endurance in larger areas. On the other hand, advances in the processing of digital stereo photography make it possible to produce three-dimensional (3D) forest canopy data on the basis of images acquired using simple lightweight digital camera sensors. In this study, an aerial image orthomosaic and 3D photogrammetric canopy height data were derived from the images acquired …

CanopyAerial surveyUAVta1172ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONta1171ComputerApplications_COMPUTERSINOTHERSYSTEMSphotogrammetric surface modelBasal areaAerial photographyaerial imagerylcsh:Forestryforest inventorycanopy height modelRemote sensingta113Forest inventoryEcological ModelingForestryta4112unmanned aerial systemAerial imageryPhotogrammetrylcsh:SD1-669.5Environmental scienceWoody plantSilva fennica
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