Search results for " Vision"

showing 10 items of 2709 documents

Registration-based Construction of a Whole-body Human Phantom Library for Anthropometric Modeling.

2020

Various computational human phantoms have been proposed in the past decades, but few of them include delicate anthropometric variations. In this study, we build a whole-body phantom library including 145 anthropometric parameters. This library is constructed by registration-based pipeline, which transfers a standard whole-body anatomy template to an anthropometry-adjustable body shape library (MakeHuman™). Therefore, internal anatomical structures are created for body shapes of different anthropometric parameters. Based on the constructed library, we can generate individualized whole-body phantoms according to given arbitrary anthropometric parameters. Moreover, the proposed phantom library…

Body shapeAnthropometrybusiness.industryComputer sciencePhantoms ImagingPipeline (software)Imaging phantom030218 nuclear medicine & medical imagingAnthropometric parameters03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisHumansComputer visionArtificial intelligencebusinessWhole bodyAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Analysis of Spatially and Temporally Overlapping Events with Application to Image Sequences

2006

Counting spatially and temporally overlapping events in image sequences and estimating their shape-size and duration features are important issues in some applications. We propose a stochastic model, a particular case of the nonisotropic 3D Boolean model, for performing this analysis: the temporal Boolean model. Some probabilistic properties are derived and a methodology for parameter estimation from time-lapse image sequences is proposed using an explicit treatment of the temporal dimension. We estimate the mean number of germs per unit area and time, the mean grain size and the duration distribution. A wide simulation study in order to assess the proposed estimators showed promising resul…

Boolean modelEstimation theorybusiness.industryStochastic modellingApplied MathematicsProbabilistic logicEstimatorFunctional data analysisImage processingBoolean algebrasymbols.namesakeComputational Theory and MathematicsArtificial IntelligencesymbolsComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmSoftwareMathematicsIEEE Transactions on Pattern Analysis and Machine Intelligence
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Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study

2014

International audience; Smart camera, i.e. cameras that are able to acquire and process images in real-time, is a typical example of the new embedded computer vision systems. A key example of application is automatic fall detection, which can be useful for helping elderly people in daily life. In this paper, we propose a methodology for development and fast-prototyping of a fall detection system based on such a smart camera, which allows to reduce the development time compared to standard approaches. Founded on a supervised classification approach, we propose a HW/SW implementation to detect falls in a home environment using a single camera and an optimized descriptor adapted to real-time t…

Boosting (machine learning)Computer scienceReal-time computing02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]HW/SW implementationFast smart camera prototypingComputer graphicsReal-time fall detectionZynq0202 electrical engineering electronic engineering information engineering[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsSmart cameraArchitectureComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingHome environmentbusiness.industryEfficient algorithm[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SoC implementation020202 computer hardware & architectureEmbedded systemHardware accelerationBoosting hardware implementation[INFO.INFO-ES]Computer Science [cs]/Embedded Systems020201 artificial intelligence & image processingFall detectionbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingInformation SystemsJournal of Real-Time Image Processing
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Real-time flaw detection on a complex object: comparison of results using classification with a support vector machine, boosting, and hyperrectangle-…

2006

We present a classification work performed on industrial parts using artificial vision, a support vector machine (SVM), boost- ing, and a combination of classifiers. The object to be controlled is a coated heater used in television sets. Our project consists of detect- ing anomalies under manufacturer production, as well as in classi- fying the anomalies among 20 listed categories. Manufacturer speci- fications require a minimum of ten inspections per second without a decrease in the quality of the produced parts. This problem is ad- dressed by using a classification system relying on real-time ma- chine vision. To fulfill both real-time and quality constraints, three classification algorit…

Boosting (machine learning)business.industryComputer scienceMachine visionFeature extractionDecision treeFeature selectionPattern recognitionMachine learningcomputer.software_genreAtomic and Molecular Physics and OpticsComputer Science ApplicationsSupport vector machineStatistical classificationHyperrectangleComputingMethodologies_PATTERNRECOGNITIONArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerJournal of Electronic Imaging
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Real Time Robust Embedded Face Detection Using High Level Description

2011

Face detection is a fundamental prerequisite step in the process of face recognition. It consists of automatically finding all the faces in an image despite the considerable variations of lighting, background, appearance of people, position/orientation of faces, and their sizes. This type of object detection has the distinction of having a very large intra-class, making it a particularly difficult problem to solve, especially when one wishes to achieve real time processing. A human being has a great ability to analyze images. He can extract the information about it and focus only on areas of interest (the phenomenon of attention). Thereafter he can detect faces in an extremely reliable way.…

Boosting (machine learning)business.industryComputer scienceReal-time computingDetector02 engineering and technologyContent-based image retrievalFacial recognition systemObject detection020202 computer hardware & architecture[INFO.INFO-ES] Computer Science [cs]/Embedded Systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer vision[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsArtificial intelligence[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsbusinessLinear combinationFace detectionImplementation
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Macedonio Fernandez: Vision Pura e istante eterno

2013

Il complesso percorso che conduce ad uno sguardo puro sui misteri del mondo si può realizzare, secondo Macedonio Fernández, attraverso uno sforzo dissociativo, mirato al raggiungimento di una percezione depurata dalle reminiscenze dell’appercezione. Questo tortuoso processo prende il nome di contemplación. Si tratta di un indagine critica sulla natura delle nostre percezioni, finalizzata alla confutazione delle nozioni dell’Io, della Materia, dello Spazio e del Tempo. Solamente dopo quest’analisi critica si potrà raggiungere lo ‘stato mistico’ che Macedonio definisce «ser el mundo sin sujeto ni objeto» o «la actitud de existir sin el yo». La Visión Pura alla quale Macedonio Fernández aspira…

BorgesMondoMacedonio Fernandez; Borges; Mondo; Boblioteca; Vision Pura.Settore L-LIN/06 - Lingua E Letterature Ispano-AmericaneVision PuraMacedonio FernandezMacedonio Fernandez Borges Mondo Boblioteca Vision Pura.Boblioteca
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Target point calculation in the computerized tomography. Comparison of different stereotactic methods

1995

The adaptation of computerized tomography for stereotactic operations requires the transformation of the coordinates of the target point from the CT image space into the stereotactic frame space. Two basic solutions for this transformation are realized in the most of the contemporary stereotactical systems. The indirect geometric method adjusts the frame coordinate system mechanically and identifies its origin in the CT image. There are 6 degrees of freedom: 3 of rotation and 3 of translation which have to be taken into consideration. The second method is a based on direct algebraic coordinate transformation and is independent of the explicite knowledge of the relationship between the image…

Brain Diseasesbusiness.industryCoordinate systemFrame (networking)General MedicineTranslation (geometry)Stereotaxic TechniquesTransformation matrixTransformation (function)Position (vector)HumansMedicineSurgeryPoint (geometry)Computer visionNeurology (clinical)Artificial intelligenceTomography X-Ray ComputedbusinessMathematical ComputingRotation (mathematics)Neurosurgical Review
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3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer Patients

2022

Rationale and Objectives: To develop and validate a radiomic model, with radiomic features extracted from breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) from a 1.5T scanner, for predicting the malignancy of masses with enhancement. Images were acquired using an 8-channel breast coil in the axial plane. The rationale behind this study is to show the feasibility of a radio-mics-powered model that could be integrated into the clinical practice by exploiting only standard-of-care DCE-MRI with the goal of reducing the required image pre-processing (ie, normalization and quantitative imaging map generation).Materials and Methods: 107 radiomic features were extracted from a …

Breast cancer Dynamic contrast-enhanced magnetic resonance imagingSupport Vector MachineComputer scienceNormalization (image processing)Breast NeoplasmsFeature selectionBreast cancerBreast cancerDiscriminative modelmedicineHumansRadiology Nuclear Medicine and imagingBreastRetrospective StudiesDynamic contrast-enhanced magnetic resonance imagingRadiomicsSupport vector machinesReceiver operating characteristicbusiness.industryPattern recognitionmedicine.diseaseMagnetic Resonance Imagingmachine learning Radiomics unsupervised feature selection Support vector machinesSupport vector machinemachine learningROC CurveFeature (computer vision)Test setFemaleArtificial intelligenceSettore MED/36 - Diagnostica Per Immagini E Radioterapiabusinessunsupervised feature selectionBreast cancer Dynamic contrast-enhanced magnetic resonance imaging; machine learning Radiomics unsupervised feature selection Support vector machinesAcademic Radiology
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Miopijas attīstību ietekmējošie faktori

2021

Darbs ir uzrakstīts latviešu valodā uz 36 lappusēm. Tajā kopā ir 24 attēli un 11 tabulas. Darbā kopā ir 35 atsauces uz literatūras avotiem. Darba mērķis : Novērtēt faktorus, kuri ietekmē miopijas progresēšanu. Pētījuma ietvaros tika izveidotas divas aptaujas. Aptaujā iegūtie dati tika apkopoti no 71 respondenta. Lai salīdzinātu un analizētu aptaujā iegūto dalībnieku datus un noskaidrotu, kā miopija progresē, papildus tika izmantots arī miopijas kalkulators. Tā kā miopijas kalkulatora piedāvātajām miopijas progresiju līknēm ir informatīvs raksturs, tad bērnu vecākiem kopā ar acu ārstu vai optometristu miopijas kalkulators varētu palīdzēt pieņemt labāko lēmumu miopijas korekcijas izvēlē. Atsl…

Brien Holden Vision InstituteNational Myopia Institutemiopijas kalkulatorsFizikamiopija
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Monitoring the Morphology of M87* in 2009-2017 with the Event Horizon Telescope

2020

All authors: Wielgus, Maciek; Akiyama, Kazunori; Blackburn, Lindy; Chan, Chi-kwan; Dexter, Jason; Doeleman, Sheperd S.; Fish, Vincent L.; Issaoun, Sara; Johnson, Michael D.; Krichbaum, Thomas P.; Lu, Ru-Sen; Pesce, Dominic W.; Wong, George N.; Bower, Geoffrey C.; Broderick, Avery E.; Chael, Andrew; Chatterjee, Koushik; Gammie, Charles F.; Georgiev, Boris; Hada, Kazuhiro Loinard, Laurent; Markoff, Sera; Marrone, Daniel P.; Plambeck, Richard; Weintroub, Jonathan; Dexter, Matthew; MacMahon, David H. E.; Wright, Melvyn; Alberdi, Antxon; Alef, Walter; Asada, Keiichi; Azulay, Rebecca; Baczko, Anne-Kathrin; Ball, David; Baloković, Mislav; Barausse, Enrico; Barrett, John; Bintley, Dan; Boland, Wilf…

Brightness1663Active galactic nucleus010504 meteorology & atmospheric sciences1346Event horizonAstronomyAstrophysics::High Energy Astrophysical PhenomenaGalaxy accretion disksFOS: Physical sciencesAstrophysicsF500Astrophysics::Cosmology and Extragalactic Astrophysics01 natural sciences5752033Settore FIS/05 - Astronomia e AstrofisicaSupermassive black holes0103 physical sciencesVery-long-baseline interferometryAstronomy Astrophysics and Cosmology1769010303 astronomy & astrophysicsComputer Vision and Robotics (Autonomous Systems)Astronomy data modelingVery long baseline interferometry0105 earth and related environmental sciences162Black holes; Galaxy accretion disks; Galaxy accretion; Supermassive black holes; Active galactic nuclei; Low-luminosity active galactic nuclei; Very long baseline interferometry; Astronomy data modeling; Radio interferometryEvent Horizon TelescopePhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Active galactic nucleiSupermassive black holeBlack holesAstronomy and Astrophysics16Galaxy accretion562Position angleGalaxyLow-luminosity active galactic nucleiMedical Image ProcessingSpace and Planetary ScienceRadio interferometryAstrophysics - High Energy Astrophysical Phenomena[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]1859
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