Search results for " Reconstruction"

showing 10 items of 694 documents

Efficient correspondence problem-solving in 3-D shape reconstruction using a structured light system

2005

This paper deals with 3-D object reconstruction using a structured light system (SLS). The SLS is composed of a camera and a laser projector that illuminates spots on the scene of interest. The basic problem of such a system is the correspondence problem. If the correct correspondence between the imaged spots and the projected laser rays is found, the 3-D coordinates of the physical points associated with these spots can be calculated. We propose a method that automatically provides SLS configurations (i.e., the relative positions of both camera and laser projector with respect to the object to be analyzed) that allow performing an unambiguous and direct correspondence procedure. Experiment…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringStereoscopyImage segmentationIterative reconstructionLaserAtomic and Molecular Physics and Opticslaw.inventionStructured-light 3D scannerLaser projectorlawComputer visionArtificial intelligencebusinessCorrespondence problemStructured lightOptical Engineering
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An Alternative to Medial Axis for the 3D Reconstruction of Unorganized Set of Points Using Implicit Surfaces

2006

Rebuilding three-dimensional objects represented by a set of points is a classical problem in computer graphics. Multiple applications like medical imaging or industrial techniques require finding shape from scattered data. Therefore, the reconstruction of a set of points that represents a shape has been widely studied, depending on data source and reconstruction's objectives. This purpose of this paper is to provide an automatic reconstruction from an unorganized cloud describing an unknown shape in order to provide a solution that will allow to compute the object's volume and to deform it with constant volume. The main idea in this paper consists in filling the object's interior with an e…

Computer sciencebusiness.industryEquipotential surface3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMetaballsObject (computer science)Computer graphicsSet (abstract data type)Medial axisComputer visionArtificial intelligencebusinessConstant (mathematics)ComputingMethodologies_COMPUTERGRAPHICS
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Line based motion estimation and reconstruction of piece-wise planar scenes

2011

We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more that one line correspondence across more than two views to recover the translation and achieves the goal by exploiting photometric constraints of the surface around the line. Experimental results on real i…

Computer sciencebusiness.industryLine segment intersectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionTranslation (geometry)Real imageLine segmentMotion estimationLine (geometry)Computer visionArtificial intelligenceVanishing pointbusiness2011 IEEE Workshop on Applications of Computer Vision (WACV)
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3D Scene Reconstruction Using Kinect

2014

The issue of the automatic reconstruction of 3D scenes has been addressed in several chapters over the last few years. Many of them describe techniques for processing stereo vision or range images captured by high quality range sensors. However, due to the high price of such input devices, most of the methods proposed in the literature are not suitable for real-world scenarios. This chapter proposes a method designed to reconstruct 3D scenes perceived by means of a cheap device, namely the Kinect sensor. The scene is efficiently represented as a composition of superquadric shapes so as to obtain a compact description of environment, however complex it may be. The approach proposed here is i…

Computer sciencebusiness.industrymedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInput deviceCognitive architectureScene Reconstruction 3D Data KinectReal imageRange (mathematics)StereopsisComputer visionQuality (business)Artificial intelligencebusinessmedia_common
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Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition

2021

One of the most powerful techniques to diagnose cardiovascular diseases is to analyze the electrocardiogram (ECG). To increase diagnostic sensitivity, the ECG might need to be acquired using an ambulatory system, as symptoms may occur during a patient’s daily life. In this paper, we propose using an ambulatory ECG (aECG) recording device with a low number of leads and then estimating the views that would have been obtained with a standard ECG location, reconstructing the complete Standard 12-Lead System, the most widely used system for diagnosis by cardiologists. Four approaches have been explored, including Linear Regression with ECG segmentation and Artificial Neural Networks (ANN). The b…

Computer sciencestandard 12-lead systemTP1-1185electrocardiogramBiochemistryArticlelead reconstructionAnalytical ChemistryElectrocardiographyLinear regressionHumansSegmentationSensitivity (control systems)cardiovascular diseasesElectrical and Electronic EngineeringLead (electronics)InstrumentationArtificial neural networkbusiness.industryChemical technologyReconstruction algorithmPattern recognitionSignal Processing Computer-AssistedAtomic and Molecular Physics and Opticscardiovascular diseasesambulatory monitoringAmbulatory ECGElectrocardiography AmbulatoryArtificial intelligenceNeural Networks ComputerEcg signalbusinessartificial neural networkAlgorithmsSensors (Basel, Switzerland)
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Statistical Reconstruction of Microstructures Using Entropic Descriptors

2018

We report a multiscale approach of broad applicability to stochastic reconstruction of multiphase materials, including porous ones. The approach devised uses an optimization method, such as the simulated annealing (SA) and the so-called entropic descriptors (EDs). For a binary pattern, they quantify spatial inhomogeneity or statistical complexity at discrete length-scales. The EDs extract dissimilar structural information to that given by two-point correlation functions (CFs). Within the SA, we use an appropriate cost function consisting of EDs or comprised of EDs and CFs. It was found that the stochastic reconstruction is computationally efficient when we begin with a preliminary synthetic…

Condensed Matter - Materials ScienceMicrostructure reconstructionDeformation (mechanics)Computer scienceGeneral Chemical EngineeringMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesFunction (mathematics)Binary pattern01 natural sciencesCatalysis010305 fluids & plasmasMultiscale modellingEntropic descriptors0103 physical sciencesVolume fractionSimulated annealingSPHERESPorous materialsStatistical physics010306 general physicsPorous mediumPorosityTransport in Porous Media
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Box 5: Surface Crystallography Terminology

2009

The crystalline nature of the surface differs from the bulk because atoms on the surface experience a different force field due to unterminated bonds, oxidation by adatoms etc. [1]. Free energy minimisation leads to reconstruction of the surface layer from the bulk by formation of dimers and displacement of atoms from their normal sites.

Condensed Matter::Quantum GasesCondensed Matter::Materials ScienceCrystallographySymmetry operationChemistryPhysics::Atomic and Molecular ClustersSurface layerSurface reconstructionForce field (chemistry)
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Metal artifact reduction in x-ray computed tomography: Inpainting versus missing value

2011

A comparison of algorithms for reduction of metal artifacts in x-ray cone beam computed tomography (CBCT) is presented. In the context of algebraic reconstruction techniques (ART) several inpainting algorithms in the image domain are evaluated against missing data strategies. A GPU-based iterative framework is employed for a meaningful comparison of both. Simulation results from an extended Shepp-Logan phantom and real world dental data are given.

Cone beam computed tomographyComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInpaintingContext (language use)Iterative reconstructionMissing dataMetal ArtifactComputer visionTomographyArtificial intelligencebusinessImage restorationComputingMethodologies_COMPUTERGRAPHICS2011 IEEE Nuclear Science Symposium Conference Record
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On cone-beam computed tomography artifacts induced by titanium implants

2010

Objectives: To briefly review the mathematical background of beam-hardening artifacts in cone-beam computed tomography (CBCT)-reconstruction and to investigate geometrical properties relevant for these reconstruction errors. By means of simulated and experimental results, beam-hardening effects caused by titanium implants are evaluated. Materials and methods: The geometrical and physical properties of the acquisition process of the projections used for 3D reconstruction are investigated and their effects on the CBCT images in the presence of titanium implants are derived. Beam-hardening effects are computed for a simplified polychromatic situation (three energy subsets of 80 and 110 kV) and…

Cone beam computed tomographyMaterials sciencemedicine.diagnostic_testbusiness.industry3D reconstructionchemistry.chemical_elementComputed tomographyRodImaging phantomArtifact reductionchemistrymedicineImplantOral SurgeryNuclear medicinebusinessTitaniumClinical Oral Implants Research
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Auto calibration of a cone-beam-CT

2012

Purpose: This paper introduces a novel autocalibration method for cone-beam-CTs (CBCT) or flat-panel CTs, assuming a perfect rotation. The method is based on ellipse-fitting. Autocalibration refers to accurate recovery of the geometric alignment of a CBCT device from projection images alone, without any manual measurements. Methods: The authors use test objects containing small arbitrarily positioned radio-opaque markers. No information regarding the relative positions of the markers is used. In practice, the authors use three to eight metal ball bearings (diameter of 1 mm), e.g., positioned roughly in a vertical line such that their projection image curves on the detector preferably form l…

Cone beam computed tomographybusiness.industryComputer science3D reconstructionX-ray detectorImage processingGeneral MedicineIterative reconstructionEllipseOpticsCalibrationTomographyImage sensorbusinessImage resolutionAlgorithmMedical Physics
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