Search results for "Computer Vision"

showing 10 items of 2353 documents

NIR and Visible Image Fusion for Improving Face Recognition at Long Distance

2014

Face recognition performance achieves high accuracy in close proximity. However, great challenges still exist in recognizing human face at long distance. In fact, the rapidly increasing need for long range surveillance requires a passage from close-up distances to long distances which affects strongly the human face image quality and causes degradation in recognition accuracy. To address this problem, we propose in this paper, a multispectral pixel level fusion approach to improve the performance of automatic face recognition at long distance. The main objective of the proposed approach is to formulate a method to enhance the face image quality as well as the face recognition rate. First, v…

Discrete wavelet transformImage fusionPixelImage qualityComputer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFacial recognition systemFace (geometry)Singular value decompositionComputer visionArtificial intelligencebusiness
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Multiscale Edges Detection by Wavelet Transform for Model of Face Recognition

1996

Publisher Summary The linear auto-associator is a particular case of the linear-associator. The goal of this network is to associate a set of stimuli to itself, which could be used to store and retrieve face images and it also could be applied as a pre-processing device to simulate some psychological tasks—such as categorizing face according to their gender. A technique of learning based on the wavelet transform can improve recognition capability when the pattern images are with a great noise. One of the ways to store and recall face images uses the linear auto-associative memory. This connectionist model is in conjunction with a pixel-based coding of the faces. The image processing using t…

Discrete wavelet transformLifting schemePixelComputer sciencebusiness.industrySecond-generation wavelet transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformPattern recognitionImage processingFacial recognition systemWaveletComputer visionArtificial intelligencebusiness
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Regularization of optical flow with M-band wavelet transform

2003

The optical flow is an important tool for problems arising in the analysis of image sequences. Flow fields generated by various existing solving techniques are often noisy and partially incorrect, especially near occlusions or motion boundaries. Therefore, the additional information on the scene gained from a sequence of images is usually worse. In this paper, discrete wavelet transform has been adopted in order to enhance the reliability of optical flow estimation. A generalization of the well-known dyadic orthonormal wavelets to the case of the dilation scale factor M > 2 with N vanishing moments has been used, and it has proved to be a useful regularizing tool. The advantages in the comp…

Discrete wavelet transformM-band waveletLifting schemebusiness.industryStationary wavelet transformOptical flowComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformWavelet packet decompositionApplied MathematicSettore MAT/08 - Analisi NumericaComputational MathematicsWaveletComputational Theory and MathematicsMultiresolution analysis (MRA)Modeling and SimulationModelling and SimulationComputational MathematicComputer visionArtificial intelligenceHarmonic wavelet transformFast wavelet transformbusinessAlgorithmMathematicsComputers & Mathematics with Applications
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172 REAL TIME EDGES DETECTION USING WAVELET TRANSFORM

2000

One of the way to extract edges uses the fast wavelet transform algorithm. This technique allows the detection of multiscale edges and is used to detect all the details, which are in a picture by modifying the scale. The real time application for edge detection involves the implementation of the algorithm on an integrated circuit like a FPGA and the development of an appropriated board. This article deals about the implementation of a wavelet transform algorithm onto a FPGA and development of an electronic board to detect multiscale edges.

Discrete wavelet transformbusiness.industryComputer scienceSecond-generation wavelet transformStationary wavelet transformWavelet transformWavelet packet decompositionComputer Science::Hardware ArchitectureWaveletComputer visionArtificial intelligenceHarmonic wavelet transformFast wavelet transformbusinessJournal of the Visualization Society of Japan
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EMG artifacts removal during electrical stimulation, a CWT based technique

2014

International audience; A technique of artifacts removal based on the continuous wavelet transform is presented. It uses common mother wavelets to find the temporal localization of stimulation artifacts on electromyogram (EMG) signal during an electrically evoked contraction of a muscle. This method can be used with standard stimulation pulse waveforms like monophasics or biphasics ones. It uses a histogram representation to find the best threshold to apply on the CWT domain. The algotithm is presented with Haar wavelet and then it is used with common wavelet famillies such as Daubechies or Symlets.

Discrete wavelet transformstimulation artifacts0206 medical engineering02 engineering and technologyElectromyography[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing03 medical and health sciences0302 clinical medicineWaveletHistogramwaveletmedicineSource separationWaveformComputer visionContinuous wavelet transformMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing030222 orthopedicsmedicine.diagnostic_testbusiness.industryhistogram representationPattern recognition020601 biomedical engineeringHaar waveletElectromyogram[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronicssource separationArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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A coupled Finite Volume–Smoothed Particle Hydrodynamics method for incompressible flows

2016

Abstract An hybrid approach is proposed which allows to combine Finite Volume Method (FVM) and Smoothed Particle Hydrodynamics (SPH). The method is based on the partitioning of the computational domain into a portion discretized with a structured grid of hexahedral elements (the FVM-domain ) and a portion filled with Lagrangian particles (the SPH-domain ), separated by an interface made of triangular elements. A smooth transition between the solutions in the FVM and SPH regions is guaranteed by the introduction of a layer of grid cells in the SPH-domain and of a band of virtual particles in the FVM one (both neighboring the interface), on which the hydrodynamic variables are obtained throug…

DiscretizationSPHComputational MechanicsGeneral Physics and AstronomyCoupled FVM–SPH approachBoundary condition01 natural sciences010305 fluids & plasmasSettore ICAR/01 - IdraulicaSmoothed-particle hydrodynamicsPhysics and Astronomy (all)0103 physical sciencesComputational mechanicsMechanics of Material0101 mathematicsMirror particleComputational MechanicPhysicsFinite volume methodMechanical EngineeringMathematical analysisSmoothed Particle HydrodynamicComputer Science Applications1707 Computer Vision and Pattern RecognitionGridComputer Science ApplicationsComputational physics010101 applied mathematicsMechanics of MaterialsCompressibilityReduction (mathematics)Interpolation
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Distributed Learning Automata-based S-learning scheme for classification

2019

This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing an LA-based random walk in a grid system. To each node in the grid, we attach an LA whose actions are the choices of the edges forming a separator. The walk is self-enclosing, and a new random walk is started whenever the walker returns to the starting node forming a closed classification path yielding a many-edged polygon. In our approach, the different LA attached to the different nodes search for a polygon that best encircles and separates each class. Based on the obtained polygons, we perform …

Distributed learningLearning automataComputer sciencePolygonsFeature vector020207 software engineering02 engineering and technologyGridRandom walkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Learning automataSupport vector machinesymbols.namesakeArtificial IntelligenceKernel (statistics)Polygon0202 electrical engineering electronic engineering information engineeringGaussian functionsymbols020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionClassificationsAlgorithmPattern Analysis and Applications
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Robust stabilisation of 2D state-delayed stochastic systems with randomly occurring uncertainties and nonlinearities

2013

This paper is concerned with the state feedback control problem for a class of two-dimensional (2D) discrete-time stochastic systems with time-delays, randomly occurring uncertainties and nonlinearities. Both the sector-like nonlinearities and the norm-bounded uncertainties enter into the system in random ways, and such randomly occurring uncertainties and nonlinearities obey certain mutually uncorrelated Bernoulli random binary distribution laws. Sufficient computationally tractable linear matrix inequality–based conditions are established for the 2D nonlinear stochastic time-delay systems to be asymptotically stable in the mean-square sense, and then the explicit expression of the desired…

Distribution (number theory)Linear matrix inequality (LMI)Linear matrix inequality2D stochastic systems; Linear matrix inequality (LMI); Randomly occurring nonlinearities; Randomly occurring uncertainties; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionBinary numberComputer Science Applications1707 Computer Vision and Pattern RecognitionExpression (computer science)Randomly occurring nonlinearitiesComputer Science ApplicationsTheoretical Computer ScienceNonlinear systemBernoulli's principleControl and Systems EngineeringControl theoryStability theory2D stochastic systemsRandomly occurring uncertaintiesMathematicsInternational Journal of Systems Science
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Objective assessment of the effect of pupil size upon the power distribution of multifocal contact lenses

2017

AIM: To analytically assess the effect of pupil size upon the refractive power distributions of different designs of multifocal contact lenses. METHODS: Two multifocal contact lenses of center-near design and one multifocal contact lens of center-distance design were used in this study. Their power profiles were measured using the NIMO TR1504 device (LAMBDA-X, Belgium). Based on their power profiles, the power distribution was assessed as a function of pupil size. For the high addition lenses, the resulting refractive power as a function of viewing distance (far, intermediate, and near) and pupil size was also analyzed. RESULTS: The power distribution of the lenses was affected by pupil siz…

Distribution (number theory)genetic structuresLentes de contactoOptical powerAstrophysics::Cosmology and Extragalactic Astrophysicslaw.inventionObjective assessment03 medical and health sciences0302 clinical medicineOpticsClinical ResearchlawMedicineComputer visionbusiness.industryPupil sizeeye diseasesPower (physics)Lens (optics)Contact lensOphthalmologyPupil magnification030221 ophthalmology & optometryOftalmologíaArtificial intelligencesense organsbusiness030217 neurology & neurosurgery
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Cue combination in a combined feature contrast detection and figure identification task

2006

AbstractTarget figures defined by feature contrast in spatial frequency, orientation or both cues had to be detected in Gabor random fields and their shape had to be identified in a dual task paradigm. Performance improved with increasing feature contrast and was strongly correlated among both tasks. Subjects performed significantly better with combined cues than with single cues. The improvement due to cue summation was stronger than predicted by the assumption of independent feature specific mechanisms, and increased with the performance level achieved with single cues until it was limited by ceiling effects. Further, cue summation was also strongly correlated among tasks: when there was …

Dual-task paradigmAdultMalePsychometricsmedia_common.quotation_subjectContrast SensitivityDiscrimination PsychologicalFigure-ground segregationPsychophysicsComputer GraphicsPsychophysicsContrast (vision)Humansmedia_commonCommunicationFeature contrastbusiness.industryOrientation (computer vision)Figure–groundPattern recognitionCue combinationSensory SystemsOphthalmologyPattern Recognition VisualFeature (computer vision)Pattern recognition (psychology)FemaleArtificial intelligenceSpatial frequencyCuesPsychologybusinessVision Research
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