Search results for "Computer Vision and Pattern Recognition"

showing 10 items of 997 documents

Measurement of three-dimensional mirror parameters by polarization imaging applied to catadioptric camera calibration

2008

International audience; We present a new efficient method for calibration of cata- dioptric sensors. The method is based on an accurate measurement of the three-dimensional parameters of the mirror through polariza- tion imaging. While inserting a rotating polarizer between the cam- era and the mirror, the system is automatically calibrated without any calibration patterns. Moreover, this method permits most of the constraints related to the calibration of catadioptric systems to be relaxed. We show that, contrary to our system, the traditional meth- ods of calibration are very sensitive to misalignment of the camera axis and the symmetry axis of the mirror. From the measurement of three-di…

catadioptricComputer science02 engineering and technologyIterative reconstruction[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]030218 nuclear medicine & medical imaginglaw.invention03 medical and health sciencesCatadioptric system[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicinelawCamera auto-calibration0202 electrical engineering electronic engineering information engineeringCalibrationComputer visionElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUSpolarizationbusiness.industryAstrophysics::Instrumentation and Methods for Astrophysics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Polarization imagingPolarizercalibrationPolarization (waves)Atomic and Molecular Physics and OpticsComputer Science ApplicationsCatadioptric sensor020201 artificial intelligence & image processingnon-centralArtificial intelligencebusinessJournal of Electronic Imaging
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Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images

2023

Radiomic analysis allows for the detection of imaging biomarkers supporting decision-making processes in clinical environments, from diagnosis to prognosis. Frequently, the original set of radiomic features is augmented by considering high-level features, such as wavelet transforms. However, several wavelets families (so called kernels) are able to generate different multi-resolution representations of the original image, and which of them produces more salient images is not yet clear. In this study, an in-depth analysis is performed by comparing different wavelet kernels and by evaluating their impact on predictive capabilities of radiomic models. A dataset composed of 1589 chest X-ray ima…

chest X-ray imagesradiomic featuresSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioniwavelet kernelsRadiology Nuclear Medicine and imagingCOVID-19 prognosisComputer Vision and Pattern RecognitionElectrical and Electronic Engineeringmachine learning modelswavelet-derived featurespredictive capabilityComputer Graphics and Computer-Aided Design
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Design of a customized pattern for improving color constancy across camera and illumination changes

2010

International audience; This paper adresses the problem of color constancy on a large image database acquired with varying digital cameras and lighting conditions. Automatic white balance control proposed by an available commercial camera is not sufficient to provide reproducible color classification. A device-independent color representation may be obtained by applying a chromatic adaptation transform, from a calibrated color checker pattern included in the field of view. Instead of using the standard Macbeth color checker, we suggest to select judicious colors to design a customized pattern from contextual information. A comparative study demonstrates that this approach insures a stronger…

chromatic adaptationComputer scienceColor normalizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balanceField of view02 engineering and technologyVision control[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]030218 nuclear medicine & medical imaging03 medical and health sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine0202 electrical engineering electronic engineering information engineeringContextual informationComputer visionColor representationColor constancybusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Color imagingChromatic adaptationchromatic adaptation.color checker design020201 artificial intelligence & image processingArtificial intelligencebusiness
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A Non-Local Mode-I Cohesive Model for Ascending Thoracic Aorta Dissections (ATAD)

2018

This paper presents a non-local interface mechanical model to describe aortic dissection. In this regard, the mode-I debonding problem based on a cohesive zone modeling is endowed with non-local terms to include long-range interactions that are present in multi-layered biological tissue. Such non-local effects are related to the collagen fibers that transmit forces between non-adjacent elements. Numerical simulations are provided with different values of the non-local parameters in order to show the effect of the non-locality during the debonding processes.

cohesive zone modelSettore MED/09 - Medicina InternaMaterials scienceEnergy Engineering and Power Technologydebonding processIndustrial and Manufacturing Engineeringbiomechanicsnon-local effectsArtificial Intelligencemedicine.arterybiomechanics; cohesive zone model; debonding process; non-local effectsmedicineThoracic aortaInstrumentationdebonding proceAortic dissectionRenewable Energy Sustainability and the EnvironmentMode (statistics)BiomechanicsComputer Science Applications1707 Computer Vision and Pattern RecognitionMechanicsBiological tissuemedicine.diseaseNon localCohesive zone modelComputer Networks and Communicationnon-local effectbiomechanicSettore ICAR/08 - Scienza Delle Costruzioni
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Curvelet-based method for orientation estimation of particles from optical images

2014

A method based on the curvelet transform is introduced to estimate the orientation distribution from two-dimensional images of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform better than these tradi- tional methods. peerReviewed

curveletmultiscaleComputer Science::Computer Vision and Pattern Recognitionanisotropicorientationfiber
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Predicting the availability of users' devices in Decentralized Online Social Networks

2018

The understanding of the user temporal behavior is a crucial aspect for all those systems that rely on user resources for daily operations, such as decentralized online social networks (DOSNs). Indeed, DOSNs exploit the devices of their users to take on and share the tasks needed to provide services such as storing the published data. In the last years, the increasing popularity of DOSN services has changed the way of how people interact with each other by enabling users to connect to these services at any time by using their personal devices (such as notebooks or smartphones). As a result, the availability of data in these systems is strongly affected (or reflected) by the temporal behavio…

decentralized online social networkdecentralized online social networksavailability predictionComputer Networks and CommunicationComputational Theory and Mathematicsavailabilityuser behaviorComputer Science Applications1707 Computer Vision and Pattern Recognitionpredictionavailability prediction; decentralized online social networks; user behaviorSoftwareTheoretical Computer Science
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Détection robuste de mouvement par histogrammes quasi‐continus

2012

National audience; Dans cet article, nous proposons d'utiliser la représentation de distributions de valeurs par histogrammes quasi-continus pour réaliser une détection temps réel de mouvement dans une séquence d'images. Nous comparons les résultats de cette détection à deux méthodes de référence de la littérature.

densityvision[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]motion detection[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Quasi-continuous histogram[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]image processing
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A Dataset of Annotated Omnidirectional Videos for Distancing Applications

2021

Omnidirectional (or 360°) cameras are acquisition devices that, in the next few years, could have a big impact on video surveillance applications, research, and industry, as they can record a spherical view of a whole environment from every perspective. This paper presents two new contributions to the research community: the CVIP360 dataset, an annotated dataset of 360° videos for distancing applications, and a new method to estimate the distances of objects in a scene from a single 360° image. The CVIP360 dataset includes 16 videos acquired outdoors and indoors, annotated by adding information about the pedestrians in the scene (bounding boxes) and the distances to the camera of some point…

distancingComputer scienceDistancing360°Computer applications to medicine. Medical informaticsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONR858-859.7Pedestrianvideo datasetArticleImage (mathematics)Bounding overwatchResearch communityomnidirectional camerasdepth estimationPhotographyRadiology Nuclear Medicine and imagingComputer visionvideo surveillanceElectrical and Electronic EngineeringOmnidirectional antennaTR1-1050360Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionispherical imagesbusiness.industryPerspective (graphical)Process (computing)QA75.5-76.95trackingComputer Graphics and Computer-Aided Designequirectangular projectionElectronic computers. Computer sciencepedestrianComputer Vision and Pattern RecognitionArtificial intelligencebusinessJournal of Imaging
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Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University

2016

In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is ba…

distributed optimization micro-grids optimal power flowbusiness.industryBusbarHeuristic (computer science)Computer science020209 energyComputer Science Applications1707 Computer Vision and Pattern Recognitionmicro-grids02 engineering and technologyMicro-gridGridDistributed optimizationEvery 5 minutesSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaPower flowComputer Networks and CommunicationControl theoryDistributed generationUrban Studie0202 electrical engineering electronic engineering information engineeringMicrogridbusinessOptimal power flowSimulationVoltage2016 IEEE International Smart Cities Conference (ISC2)
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A Performance Evaluation of Fusion Techniques for Spatio-Temporal Saliency Detection in Dynamic Scenes

2013

International audience; Visual saliency is an important research topic in computer vision applications, which helps to focus on regions of interest instead of processing the whole image. Detecting visual saliency in still images has been widely addressed in literature. However, visual saliency detection in videos is more complicated due to additional temporal information. A spatio-temporal saliency map is usually obtained by the fusion of a static saliency map and a dynamic saliency map. The way both maps are fused plays a critical role in the accuracy of the spatio-temporal saliency map. In this paper, we evaluate the performances of different fusion techniques on a large and diverse datas…

fusionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Image (mathematics)Visual salincy[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Salience (neuroscience)0202 electrical engineering electronic engineering information engineeringComputer visionSaliency mapcontext informationFusionImage fusionbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognitionSpatio-temporal saliencyperformance evaluationKadir–Brady saliency detector020201 artificial intelligence & image processingArtificial intelligenceFocus (optics)business
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