Search results for "Registration"

showing 10 items of 146 documents

An Agenda for Open Science in Communication

2021

Contains fulltext : 226720.pdf (Publisher’s version ) (Open Access) In the last 10 years, many canonical findings in the social sciences appear unreliable. This so-called "replication crisis" has spurred calls for open science practices, which aim to increase the reproducibility, replicability, and generalizability of findings. Communication research is subject to many of the same challenges that have caused low replicability in other fields. As a result, we propose an agenda for adopting open science practices in Communication, which includes the following seven suggestions: (1) publish materials, data, and code; (2) preregister studies and submit registered reports; (3) conduct replicatio…

Open scienceLinguistics and LanguageRegistered Reportsmedia_common.quotation_subject/dk/atira/pure/subjectarea/asjc/3300/3315050801 communication & media studies050105 experimental psychologyLanguage and Linguistics0508 media and communicationsPromotion (rank)Open Science/dk/atira/pure/subjectarea/asjc/3300/3310Political scienceReplicabilityOpenness to experience0501 psychology and cognitive sciencesGeneralizability theoryPublicationmedia_commonReplication crisis/dk/atira/pure/subjectarea/asjc/1200/1203business.industryCommunication05 social sciencesPreregistrationPublic relations/dk/atira/pure/sustainabledevelopmentgoals/quality_educationTransparency (behavior)ReproducibilityCommunication and MediaPsychologieddc:320businessSDG 4 - Quality EducationQualitative research
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Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.

2019

Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper "Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers." The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.

Point cloudComputingMethodologies_PATTERNRECOGNITIONEngineeringRegistrationComputer and Information ScienceVisionCalibrationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRGB-D
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A Non-linear Diffeomorphic Framework for Prostate Multimodal Registration

2011

International audience; This paper presents a novel method for non-rigid registration of prostate multimodal images based on a nonlinear framework. The parametric estimation of the non-linear diffeomorphism between the 2D fixed and moving images has its basis in solving a set of non-linear equations of thin-plate splines. The regularized bending energy of the thin-plate splines along with the localization error of established correspondences is jointly minimized with the fixed and transformed image difference; where, the transformed image is represented by the set of non-linear equations defined over the moving image. The traditional thin-plate splines with established correspondences may p…

Prostate biopsyPhysics::Medical Physics[INFO.INFO-IM] Computer Science [cs]/Medical ImagingImage registration02 engineering and technology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine[INFO.INFO-IM]Computer Science [cs]/Medical Imaging0202 electrical engineering electronic engineering information engineeringmedicineComputer visionThin plate splineMathematicsmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryHigh-definition videoNonlinear systemSpline (mathematics)Hausdorff distanceComputer Science::GraphicsComputer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingDiffeomorphismArtificial intelligencebusiness
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An automatic filtering algorithm for SURF-based registration of remote sensing images

2017

International audience; The registration of remote sensing images has been often a necessary step for further analyses of images taken at different times, different viewing geometry or with different sensors. For this task there exists many approaches. This paper focuses on the feature-based category of image registration methods. Particularly, we propose an improvement of the SURF algorithm on the point matching step. Indeed, in order to achieve a correct registration, a good matching of feature point is required. However The presence of outliers lead to a fail in the registration. Therefore, in this paper, we introduce an efficient method devoted to the detection and removal of such outli…

RegistrationComputer scienceSatellitesFeature extractionRANSAC filtering0211 other engineering and technologiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologyimage matchingRANSACpoint matching stepElectronic mailautomatic filtering algorithmRobustness (computer science)0202 electrical engineering electronic engineering information engineeringOutlier detectionComputer vision[INFO]Computer Science [cs]RobustnessSURF-based registrationImage registration021101 geological & geomatics engineeringRemote sensingimage filteringMeasurementAutomatic filteringviewing geometrybusiness.industrySURF algorithmFeature matchingPoint set registrationRemote sensingfeature pointgeophysical image processingElectronic mail[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Outlierimage registration methodsFeature extraction020201 artificial intelligence & image processingArtificial intelligencebusinessremote sensing images
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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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Image-based MRI Gradient Estimation

2017

In order to reduce geometric distortion phenomena in MR images, every MRI system main magnet undergoes a shimming process. Since this process aims at optimizing magnetic field homogeneity within a so-called uniformity sphere, image quality outside this sphere is neglected. Since the fields vary smoothly in space, MR signal-to-noise ratio is still non-zero just outside the uniformity region, but correction of MR image distortion fails due to lack of magnetic field knowledge outside it. We propose a novel algorithm for measuring all the fields involved in the generation of images. Our proposal is based on exploitation of the distortion which can be observed in images of a known phantom. The p…

RegistrationImage qualityComputer scienceBiomedical EngineeringBiophysicsImage enhancement/restoration (noise and artifact reduction)Signal-To-Noise Ratio01 natural sciencesGeometric distortionImaging phantom030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0103 physical sciencesHomogeneity (physics)Gradient estimationRadiology Nuclear Medicine and imagingComputer visionMagnetic resonance imaging (MRI)010306 general physicsPhantoms Imagingbusiness.industrySettore ING-INF/03 - TelecomunicazioniImage EnhancementMagnetic Resonance ImagingMagnetic fieldMagnetArtificial intelligencebusinessAlgorithmsImage based
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Metodi automatici di analisi e caratterizzazione di esami radiologici del massiccio facciale.

L'obiettivo di questo lavoro è lo sviluppo di algoritmi e procedure di analisi di referti radiografici digitali di tipo CBCT delle strutture della mandibola e dell’apparato dentario. In particolare, mediante un’opportuna campagna di sperimentazione, in collaborazione con i reparti di radiologia ed odontoiatria del Policlinico di Palermo, è stata realizzata un procedura in grado di: • eliminare i problemi di sovrapponibilità dei referti tridimensionali effettuati in tempi successivi; • identificare lo spazio parodontale su indagini CBCT per la valutazione dei possibili difetti nello stesso e prevedere l’insorgenza di parodontiti. • individuare gli elementi di maggiore interesse medico caratt…

Registrazione di Immagini medicali Correlazione d'immagini tridimensionali Correlazione di Immagini Digitali Segmentazione Contorni Attivi Identificazione elementi dentari operatori morfologicimatrici di traslazione e rotazione procedure di analisi per immagini CBCT del maxillo faccialeMedical Image Registration Three-dimensional Image Correlation Digital Image Correlation Segmentation Active Contours Dental Identification Morphological Operators Traslation and rotation matirx CBCT maxillo facial image analysis procedures
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Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features

2016

An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similarity metrics--such as normalized cross-correlation, squared sum of intensity differences and correlation coefficient--are insufficient for achieving adequate results under different image deformations. Thus, new…

Satellite ImageryComputer scienceComputer Visionlcsh:MedicineTransportation02 engineering and technology01 natural sciencesPattern Recognition Automated0202 electrical engineering electronic engineering information engineeringImage Processing Computer-Assistedlcsh:ScienceMultidisciplinaryApplied MathematicsSimulation and ModelingPhysicsClassical MechanicsDeformationPhysical SciencesEngineering and Technology020201 artificial intelligence & image processingAlgorithmsResearch ArticleNormalization (statistics)Matching (statistics)Computer and Information SciencesSimilarity (geometry)Imaging TechniquesImage registrationResearch and Analysis MethodsImage (mathematics)010309 optics0103 physical sciencesImage Interpretation Computer-AssistedComputer GraphicsComputer ImagingEigenvalues and eigenvectorsDamage Mechanicsbusiness.industrylcsh:RPattern recognitionEigenvaluesBoatsTarget DetectionAlgebraLinear AlgebraSubtraction TechniquePath (graph theory)lcsh:QAffine transformationArtificial intelligencebusinessEigenvectorsMathematicsHomography (computer vision)PLoS ONE
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Registration of arbitrary multi-view 3D acquisitions

2013

International audience; To register 3D meshes representing smooth surfaces we track the 3D digitization system using photogrammetric techniques and calibrations. We present an example by digitizing a 800 mm x 600 mm portion of a car door. To increase the tracking accuracy the 3D scanner is placed in a cubic frame of side 0.5 m covered with 78 targets. The target frame moves in a volume that is approximately 1100 mm x 850 mm x 900 mm, to digitize the area of interest. Using four cameras this target frame is tracked with of an accuracy of 0.03 mm spatially and 0.180 mrad angularly. A registration accuracy between 0.1 mm and 2 mm is reached. This method can be used for the registration of mesh…

Scanner[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingGeneral Computer Science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer science[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyTracking (particle physics)01 natural sciences010309 optics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing3D imagingComputer graphics (images)0103 physical sciences0202 electrical engineering electronic engineering information engineeringPolygon meshComputer visionDigitization[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryClose-range photogrammetryTrack (disk drive)020208 electrical & electronic engineeringFrame (networking)General Engineering3D registrationPhotogrammetryMulti-view registrationArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingVolume (compression)Computers in Industry
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The apparent losses due to metering errors: a proactive approach to predict losses and schedule maintenance

2014

The effects of water meter age and private tanks on the apparent losses due to metering errors were evaluated by experimental and theoretical analyses. A monitoring campaign on a small district metered area (DMA) was carried out to determine the causes of apparent losses and implement a numerical model. Metering errors are affected by the flow rate passing through the meter, which is dependent on the network pressure and water level of the private tank. A node model that reproduces the effect of private tanks was coupled with EPANET and was applied to the DMA. The proposed modelling approach was used to identify where apparent losses are higher and to schedule maintenance. The model predict…

ScheduleEngineeringPetroleum engineeringReducerbusiness.industryGeography Planning and DevelopmentFlow (psychology)water meter under-registrationwater meter substitution planapparent losseprivate water tankMetreNode (circuits)Metering modebusinessunmeasured flow reducerSimulationWater Science and TechnologyUrban Water Journal
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