Search results for "Computer vision"

showing 10 items of 2353 documents

A self-adaptable distributed CBR version of the EquiVox system

2016

Three dimensional (3D) voxel phantoms are numerical representations of human bodies, used by physicians in very different contexts. In the controlled context of hospitals, where from 2 to 10 subjects may arrive per day, phantoms are used to verify computations before therapeutic exposure to radiation of cancerous tumors. In addition, 3D phantoms are used to diagnose the gravity of accidental exposure to radiation. In such cases, there may be from 10 to more than 1000 subjects to be diagnosed simultaneously. In all of these cases, computation accuracy depends on a single such representation. In this paper, we present EquiVox which is a tool composed of several distributed functions and enab…

Computer scienceComputation0206 medical engineeringBiomedical EngineeringBiophysicsTherapeutic exposureBioengineeringContext (language use)02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]computer.software_genreMachine learning[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Voxel0202 electrical engineering electronic engineering information engineeringComputer visionRepresentation (mathematics)Adaptation (computer science)business.industryMulti-agent system020601 biomedical engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Key (cryptography)020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Artificial intelligence[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputer
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First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior

2022

The accurate processing of contrast is the basis for all visually guided behaviors. Visual scenes with rapidly changing illumination challenge contrast computation because photoreceptor adaptation is not fast enough to compensate for such changes. Yet, human perception of contrast is stable even when the visual environment is quickly changing, suggesting rapid post receptor luminance gain control. Similarly, in the fruit fly Drosophila, such gain control leads to luminance invariant behavior for moving OFF stimuli. Here, we show that behavioral responses to moving ON stimuli also utilize a luminance gain, and that ON-motion guided behavior depends on inputs from three first-order interneuro…

Computer scienceComputationmedia_common.quotation_subjectMotion PerceptionAdaptation (eye)ENCODELuminanceGeneral Biochemistry Genetics and Molecular BiologyContrast SensitivityMotionInterneuronsPerceptionAnimalsContrast (vision)Visual PathwaysComputer visionVision Ocularmedia_commonGeneral Immunology and Microbiologybusiness.industryVisually guidedGeneral NeuroscienceGeneral MedicineFirst orderDrosophilaArtificial intelligencebusinessPhotic StimulationeLife
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A multi-domain approach for smoothed particle hydrodynamics simulations of highly complex flows

2018

Abstract An efficient and accurate method is proposed to solve the incompressible flow momentum and continuity equations in computational domains partitioned into subdomains in the framework of the smoothed particle hydrodynamics method. The procedure does not require any overlap of the subdomains, which would result in the increase of the computational effort. Perfectly matching solutions are obtained at the surfaces separating neighboring blocks. The block interfaces can be both planar and curved surfaces allowing to easily decompose even geometrically complex domains. The smoothing length of the kernel function is maintained constant in each subdomain, while changing between blocks where…

Computer scienceComputational MechanicsGeneral Physics and AstronomyBoundary condition010103 numerical & computational mathematics01 natural sciencesSettore ICAR/01 - IdraulicaMomentumSmoothed-particle hydrodynamicsPhysics and Astronomy (all)Smoothed particle hydrodynamicIncompressible flowComputational mechanicsMechanics of MaterialDomain decomposition0101 mathematicsMirror particleComputational MechanicConservation of massISPHBlock (data storage)Mechanical EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionDomain decomposition methodsComputer Science Applications010101 applied mathematicsMechanics of MaterialsMulti-blockAlgorithmSmoothingComputer Methods in Applied Mechanics and Engineering
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Logical Key Hierarchy for Group Management in Distributed Online Social Networks

2016

Distributed Online Social Networks (DOSNs) have recently been proposed to shift the control over user data from a unique entity to the users of the DOSN themselves. In this paper, we focus our attention on the problem of privacy preserving content sharing to a large group of users of the DOSNs. Several solutions, based on cryptographic techniques, have been recently proposed. The main challenge here is the definition of a scalable and decentralized approach that: i) minimizes the re-encryption of the contents published in a group when the composition of the group changes and ii) enables a fast distribution of the cryptographic keys to all the members (n) of a group, each time a new user is …

Computer scienceComputer Networks and CommunicationsCryptography02 engineering and technologyEncryptionSet (abstract data type)Public-key cryptography0202 electrical engineering electronic engineering information engineeringMathematics (all)Distributed Online Social Network; Privacy; Secure Group communicationFocus (computing)Social networkSettore INF/01 - Informaticabusiness.industryGroup (mathematics)020206 networking & telecommunicationsComputer Science Applications1707 Computer Vision and Pattern RecognitionSecure Group communicationDistributed Online Social NetworkPrivacyScalabilitySignal ProcessingKey (cryptography)020201 artificial intelligence & image processingbusinessSoftwareComputer network
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Unmanned Aerial Vehicle-Based Non Destructive Diagnostics

2018

The paper proposes a cloud platform for analyzing the radiometric infrared videos uploaded by drones which patrol large photovoltaic plants. Thanks to artificial vision algorithms, it does not require any human support to select and associate the framed PV modules to the corresponding ones in the topology of the photovoltaic plant. The algorithm implements an innovative diagnostic protocol, which evaluates the thermal state of the photovoltaic module, whichever the environmental conditions are. The data automatically computed and collected in a multimedia database provide the O&M technicians with significant information to monitor the ageing of each module of the photovoltaic plant. The pro…

Computer scienceComputer Networks and CommunicationsMultimedia databaseReal-time computingEnergy Engineering and Power TechnologyCloud computingPV modulesdigital image processingIndustrial and Manufacturing EngineeringUploadSoftwareComputer aided diagnostics; digital image processing; drone based monitoring; PV cells; PV modules; thermography; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Renewable Energy Sustainability and the Environment; Industrial and Manufacturing Engineering; InstrumentationPV moduleArtificial IntelligenceComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSInstrumentation (computer programming)Renewable EnergyProtocol (object-oriented programming)InstrumentationSustainability and the Environmentbusiness.industryPV cellsRenewable Energy Sustainability and the EnvironmentPV cellPhotovoltaic systemComputer Science Applications1707 Computer Vision and Pattern RecognitionDronedrone based monitoringthermographySettore ING-IND/31 - ElettrotecnicaComputer Networks and CommunicationComputer aided diagnosticsbusinesscomputer aided diagnostic
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An advanced system for the simulation and planning of orthodontic treatment

2000

This paper presents a new system for three-dimensional (3-D) orthodontic treatment planning and movement of teeth. We describe a computer vision technique for the acquisition and processing of 3-D images of the profile of hydrocolloid dental imprints. Profile measurement is based on the triangulation method which detects deformation of the projection of a laser line on the dental imprints. The system is computer-controlled and designed to achieve depth and lateral resolutions of 0.1 and 0.2 mm, respectively, within a depth range of 40 mm. The 3-D image of the imprint is segmented in order to identify different teeth. Two operators are presented: one for the detection of molars and premolars…

Computer scienceComputer measurementOrthodonticsHealth InformaticsModels BiologicalPatient Care Planningstomatognathic systemHumansComputer SimulationRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedLaser lineProjection (set theory)Dental alveolusOrthodonticsMeasurement methodRadiological and Ultrasound TechnologyReproducibility of ResultsDental ModelsTriangulation (computer vision)Computer Graphics and Computer-Aided DesignModels DentalBiomechanical Phenomenastomatognathic diseasesTherapy Computer-AssistedAcquisition timeComputer Vision and Pattern RecognitionMedical Image Analysis
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Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers

2019

This paper describes a non-invasive, automatic, and robust method for calibrating a scalable RGB-D sensor network based on retroreflective ArUco markers and the iterative closest point (ICP) scheme. We demonstrate the system by calibrating a sensor network comprised of six sensor nodes positioned in a relatively large industrial robot cell with an approximate size of 10 m × 10 m × 4 m . Here, the automatic calibration achieved an average Euclidean error of 3 c m at distances up to 9.45 m . To achieve robustness, we apply several innovative techniques: Firstly, we mitigate the ambiguity problem that occurs when detecting a marker at long range or low resolution by comparing the…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologytime-of-flightBiochemistryArticleVDP::Food science and technology: 600Analytical Chemistrylaw.inventionIndustrial robotlawRegion of interestRobustness (computer science)automatic calibration0202 electrical engineering electronic engineering information engineeringCalibrationVDP::Næringsmiddelteknologi: 600lcsh:TP1-1185Computer visionElectrical and Electronic EngineeringInstrumentationbusiness.industryambiguity problemIterative closest point3D sensors020207 software engineeringretroreflective markersAtomic and Molecular Physics and OpticsTime of flightTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRGB color model020201 artificial intelligence & image processingArtificial intelligencebusinessFiducial markerWireless sensor networkSensors
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Ownership protection of plenoptic images by robust and reversible watermarking

2018

Abstract Plenoptic images are highly demanded for 3D representation of broad scenes. Contrary to the images captured by conventional cameras, plenoptic images carry a considerable amount of angular information, which is very appealing for 3D reconstruction and display of the scene. Plenoptic images are gaining increasing importance in areas like medical imaging, manufacturing control, metrology, or even entertainment business. Thus, the adaptation and refinement of watermarking techniques to plenoptic images is a matter of raising interest. In this paper a new method for plenoptic image watermarking is proposed. A secret key is used to specify the location of logo insertion. Employing discr…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologies02 engineering and technologysymbols.namesakeRobustness (computer science)0202 electrical engineering electronic engineering information engineeringDiscrete cosine transformMedian filterComputer visionElectrical and Electronic EngineeringDigital watermarking021110 strategic defence & security studiesbusiness.industryMechanical EngineeringWatermarkÒpticaPeak signal-to-noise ratioAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsGaussian noiseHuman visual system modelsymbols020201 artificial intelligence & image processingArtificial intelligencebusinessImatges Processament Tècniques digitalsOptics and Lasers in Engineering
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Extrinsic calibration of heterogeneous cameras by line images

2014

International audience; The extrinsic calibration refers to determining the relative pose of cameras. Most of the approaches for cameras with non-overlapping fields of view (FOV) are based on mirror reflection, object tracking or rigidity constraint of stereo systems whereas cameras with overlapping FOV can be calibrated using structure from motion solutions. We propose an extrinsic calibration method within structure from motion framework for cameras with overlapping FOV and its extension to cameras with partially non-overlapping FOV. Recently, omnidirectional vision has become a popular topic in computer vision as an omnidirectional camera can cover large FOV in one image. Combining the g…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBundle adjustment02 engineering and technology01 natural sciences010309 opticsOmnidirectional camera0103 physical sciences11. Sustainability0202 electrical engineering electronic engineering information engineeringStructure from motion[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionOmnidirectional antennaStereo camerasbusiness.industryOrientation (computer vision)Perspective (graphical)[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Computer Science ApplicationsHardware and ArchitectureVideo tracking020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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Multimodal Images Classification using Dense SURF, Spectral Information and Support Vector Machine

2019

International audience; The multimodal image classification is a challenging area of image processing which can be used to examine the wall painting in the cultural heritage domain. In such classification, a common space of representation is important. In this paper, we present a new method for multimodal representation learning, by using a pixel-wise feature descriptor named dense Speed Up Robust Features (SURF) combined with the spectral information carried by the pixel. For classification of extracted features we have used support vector machine (SVM). Our database was extracted from acquisition on cultural heritage wall paintings that contain four modalities UV, Visible, IRR and fluores…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technologyImage (mathematics)0202 electrical engineering electronic engineering information engineeringFeature descriptorRepresentation (mathematics)Spectral informationSpeeded up robust features SURFGeneral Environmental SciencePixelbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020206 networking & telecommunicationsPattern recognitionSVM classificationSupport vector machineCultural heritageMultimodal imagesCielab spaceDense features[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]General Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligencebusinessFeature learning
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