Search results for " cloud"

showing 10 items of 294 documents

Novel algorithms for 3D surface point cloud boundary detection and edge reconstruction

2019

Abstract Tessellated surfaces generated from point clouds typically show inaccurate and jagged boundaries. This can lead to tolerance errors and problems such as machine judder if the model is used for ongoing manufacturing applications. This paper introduces a novel boundary point detection algorithm and spatial FFT-based filtering approach, which together allow for direct generation of low noise tessellated surfaces from point cloud data, which are not based on pre-defined threshold values. Existing detection techniques are optimized to detect points belonging to sharp edges and creases. The new algorithm is targeted at the detection of boundary points and it is able to do this better tha…

PolynomialBoundary detection Edge reconstruction Point-cloudComputer scienceTKFast Fourier transformComputational MechanicsPoint cloudBoundary (topology)02 engineering and technologySettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine0203 mechanical engineeringlcsh:TA1740202 electrical engineering electronic engineering information engineeringEngineering (miscellaneous)Function (mathematics)lcsh:Engineering designComputer Graphics and Computer-Aided DesignHuman-Computer InteractionComputational MathematicsNoise020303 mechanical engineering & transportsModeling and SimulationCurve fittingArtificial noise020201 artificial intelligence & image processingAlgorithmJournal of Computational Design and Engineering
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Il paradigma proprietario e l'appropriazione dell'immateriale

2014

Uno studio sui paradigmi dell'appropriazione materiale e immateriale, con particolare attenzione per il diritto privato europeo e dalle prospettive dei limiti dei diritti e dell'evoluzione tecnologica. A study on the paradigms of the material and immaterial appropriation, with particular attention to the european private law and from the perspective of limitations to the rights and technological innovation.

Proprietà proprietà intellettuale diritto d'autore proprietà europea diritto privato europeo diritto dell'unione europea funzione sociale pubblico dominio beni comuni open source internet cloud software peer-to-peer social network streaming open patentSettore IUS/01 - Diritto Privato
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The High A(V) Quasar Survey: Reddened quasi-stellar objects selected from optical/near-infrared photometry - II

2014

Quasi-stellar objects (QSOs) whose spectral energy distributions (SEDs) are reddened by dust either in their host galaxies or in intervening absorber galaxies are to a large degree missed by optical color selection criteria like the one used by the Sloan Digital Sky Survey (SDSS). To overcome this bias against red QSOs, we employ a combined optical and near-infrared color selection. In this paper, we present a spectroscopic follow-up campaign of a sample of red candidate QSOs which were selected from the SDSS and the UKIRT Infrared Deep Sky Survey (UKIDSS). The spectroscopic data and SDSS/UKIDSS photometry are supplemented by mid-infrared photometry from the Wide-field Infrared Survey Explo…

QSOSCosmology and Nongalactic Astrophysics (astro-ph.CO)media_common.quotation_subjectYoung stellar objectgalaxies: activeFOS: Physical sciencesgalaxies: active; quasars: absorption lines; quasars: general; Space and Planetary Science; Astronomy and AstrophysicsAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesPhotometry (optics)quasars: general0103 physical sciencesAstrophysics::Solar and Stellar AstrophysicsLarge Magellanic CloudInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysicsmedia_commonPhysics010308 nuclear & particles physicsAstronomy and AstrophysicsQuasarAstrophysics - Astrophysics of GalaxiesRedshiftGalaxyquasars: absorption linesSpace and Planetary ScienceSkyAstrophysics of Galaxies (astro-ph.GA)Astrophysics::Earth and Planetary AstrophysicsAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - Cosmology and Nongalactic Astrophysics
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Electromagnetic form factors of the nucleon in a relativistic quark pair creation model

2001

We study the effects of the | qqq q\bar{q} > component of the hadronic wave function on the description of the electromagnetic structure of the nucleon. Starting with a qqq baryonic wave function which describes the baryonic and mesonic low energy spectrum, the extra q\bar{q} pair is generated through a relativistic version of the 3P_0 model. It is shown that this model leads to a renormalization of the quark mass that allows one to construct a conserved electromagnetic current. We conclude that these dynamical relativistic corrections play an important role in reproducing the Q2 dependence of the electromagnetic form factors at low Q^2.

QuarkParticle physicsNuclear and High Energy PhysicsNuclear TheoryBar (music)HadronNuclear TheoryFOS: Physical sciences01 natural sciencesMeson cloudRenormalizationNuclear Theory (nucl-th)High Energy Physics - Phenomenology (hep-ph)Electromagnetic form factors0103 physical sciences010306 general physicsWave functionNuclear ExperimentPhysicsNonrelativistic quark models010308 nuclear & particles physics[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th]Spectrum (functional analysis)High Energy Physics::PhenomenologyBaryonHigh Energy Physics - PhenomenologyFísica nuclearNucleon
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Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Specie…

2018

Recognition of tree species and geospatial information on tree species composition is essential for forest management. In this study, tree species recognition was examined using hyperspectral imagery from visible to near-infrared (VNIR) and short-wave infrared (SWIR) camera sensors in combination with a 3D photogrammetric canopy surface model based on RGB camera stereo-imagery. An arboretum with a diverse selection of 26 tree species from 14 genera was used as a test area. Aerial hyperspectral imagery and high spatial resolution photogrammetric color imagery were acquired from the test area using unmanned aerial vehicle (UAV) borne sensors. Hyperspectral imagery was processed to calibrated …

Reflectance calibration010504 meteorology & atmospheric sciencesInfraredComputer sciencegeneettiset algoritmitUAVta1171Point clouddense point cloud01 natural scienceshyperspectral imagery; tree species recognition; photogrammetry; dense point cloud; reflectance calibration; UAV; random forest; genetic algorithm; machine learningilmakuvakartoitusMachine learninggenetic algorithmImage sensorfotogrammetria0105 earth and related environmental sciencesRemote sensingta113040101 forestryta213tree species recognitionspektrikuvausSpecies diversityHyperspectral imaging04 agricultural and veterinary sciencesOtaNanoreflectance calibrationDense point cloudVNIRRandom forestTree (data structure)hyperspectral imagerykoneoppiminenPhotogrammetryGenetic algorithmHyperspectral imageryPhotogrammetryTree species recognitionlajinmääritys0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesRGB color modelkaukokartoituspuustorandom forestRandom forestRemote Sensing; Volume 10; Issue 5; Pages: 714
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3D Reconstruction of Dynamic Vehicles using Sparse 3D-Laser-Scanner and 2D Image Fusion

2016

International audience; Map building becomes one of the most interesting research topic in computer vision field nowadays. To acquire accurate large 3D scene reconstructions, 3D laser scanners are recently developed and widely used. They produce accurate but sparse 3D point clouds of the environments. However, 3D reconstruction of rigidly moving objects along side with the large-scale 3D scene reconstruction is still lack of interest in many researches. To achieve a detailed object-level 3D reconstruction, a single scan of point cloud is insufficient due to their sparsity. For example, traditional Iterative Closest Point (ICP) registration technique or its variances are not accurate and rob…

RegistrationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPoint cloud02 engineering and technologyIterative reconstructionRANSAC[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)Point Cloud0202 electrical engineering electronic engineering information engineeringComputer visionImage fusionbusiness.industry3D reconstruction[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Iterative closest point2D camera020207 software engineeringICP3D cameraMaxima and minimaGeography020201 artificial intelligence & image processingArtificial intelligencebusiness3D Reconstruction
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Process parameters influence in additive manufacturing

2016

Additive manufacturing is a rapidly expanding technology. It allows the creation of very complex 3D objects by adding layers of material, in spite of the traditional production systems based on the removal of material. The development of additive technology has produced initially a generation of additive manufacturing techniques restricted to industrial applications, but their extraordinary degree of innovation has allowed the spreading of household systems. Nowadays, the most common domestic systems produce 3D parts through a fused deposition modeling process. Such systems have low productivity and make, usually, objects with no high accuracy and with unreliable mechanical properties. Thes…

Reverse engineering0209 industrial biotechnologyComputer scienceAdditive manufacturingmedia_common.quotation_subjectPoint cloud3D printingCAD02 engineering and technologycomputer.software_genrelaw.inventionSet (abstract data type)020901 industrial engineering & automation0203 mechanical engineeringlawQuality (business)Process engineeringReverse engineeringmedia_commonFused deposition modelingbusiness.industryProcess parameterProcess (computing)3D printing020303 mechanical engineering & transportsbusinesscomputer
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Computer vision-based approach for rite decryption in old societies

2015

International audience; This paper presents an approach to determine the spatial arrangement of bones of horses in an excavation site and perform the 3D reconstruction of the scene. The relative 3D positioning of the bones was computed exploiting the information in images acquired at different levels, and used to relocate provided 3D models of the bones. A novel semi-supervised approach was proposed to generate dense point clouds of the bones from sparse features. The point clouds were later matched with the given models using Iterative Closest Point (ICP).

RiteComputer sciencebusiness.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]3D reconstructionFeature extraction[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Point cloudComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative closest pointExcavationIterative reconstructionSolid modeling[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICS
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X-raying the interstellar medium: the study of SNR shells at the OAPa

2006

SM: clouds ISM: general ISM: individual objects: Vela Supernova Remnant ISM: structure ISM: supernova remnants X-rays: ISM
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X-ray emission from supernova remnants interacting with interstellar clouds

2009

SNRmolecular clouds
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