Search results for "specular reflection"

showing 7 items of 17 documents

Specular reflection of spin-polarized electrons from the W(001) spin-filter crystal in a large range of scattering energies and angles

2015

Extending previous work on the imaging spin-filter technique based on electron diffraction from W(001) in the specular (00)-LEED (low-energy electron diffraction) spot, we studied the scattering-energy and angle-of-incidence landscape of spin sensitivity $S$ and reflectivity ${I/I}_{0}$. The setup includes a spin-polarized GaAs electron source and a rotatable delay-line detector for spatially resolving detection. We measured the intensity and spin asymmetry of the specularly reflected beam for energies between 14 and 37 eV and angles of incidence between ${30}^{\ensuremath{\circ}}$ and ${60}^{\ensuremath{\circ}}$. Resulting energy-angular landscapes show rather good agreement with theory [r…

Physicsbusiness.industryScatteringmedia_common.quotation_subjectElectronCondensed Matter PhysicsAsymmetryElectronic Optical and Magnetic MaterialsOpticsElectron diffractionSpecular reflectionDiffuse reflectionAtomic physicsbusinessIntensity (heat transfer)Spin-½media_commonPhysical Review B
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Study of the imaging conditions and processing for the aspect control of specular surfaces

2001

A vision system capable of imaging and detecting defects on reflective nonplanar surfaces in the production line at a high cadence is presented in this paper. Defects are typically dust located under the metallic layer of packaging products used in cosmetic industries. To realize this processing, structured lighting which reveals the defects in the image is proposed. Defects appear clearly in the images like a set of brilliant pixels in dark zones. The signature of the defect is then obtained. The size of this signature does not depend linearly on the size of the defect. It is a function of the observation angle. In order to realize a precise and robust process, the necessity of acquiring s…

Production linePixelComputer sciencebusiness.industryMachine visionProcess (computing)Image processingAtomic and Molecular Physics and OpticsSignature (logic)Computer Science ApplicationsComputer data storageComputer visionSpecular reflectionArtificial intelligenceElectrical and Electronic EngineeringbusinessJournal of Electronic Imaging
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Intelligent system for electrical heating control based on optical precipitation sensor

2018

Abstract The paper presents testing results of the SCADA system IntelHeat introduced at the Latvian Railways for automated heating control of railway points during winters with the purpose of electricity saving by optimized real-time assignment of heating levels. The system is based on innovative optical sensors of precipitation detecting rain and snow particles using diffuse and specular reflection channels. The results of trial exploitation demonstrated the ability of the IntelHeat system to manage points heating flexibly in accordance with changes of weather conditions and correspondence with archived meteorological data.

SCADAbusiness.industry020209 energy0202 electrical engineering electronic engineering information engineeringEnvironmental science02 engineering and technologySpecular reflectionElectricityPrecipitationbusinessRain and snow mixedRemote sensingEnergy Procedia
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3D shape extraction of internal and external surfaces of glass objects

2013

Three-dimensional (3D) digitization of manufactured objects has been investigated for several years and consequently, many techniques have been proposed. Even if some techniques have been successfully commercialized, most of them assume a diffuse or near diffuse reflectance of the object’s surface, and difficulties remain for the acquisition of “optically non cooperative” surfaces, such as transparent or specular ones. To address such surfaces, we propose a non conventional technique, called “Scanning from Heating” (SfH). In contrast to classical active triangulation techniques that acquire the reflection of visible light, we measure the thermal emission of the heated surface. The aim of th…

Surface (mathematics)Materials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingDiffuse reflectance infrared fourier transformbusiness.industry[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMeasure (physics)[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Triangulation (computer vision)transparent objects[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Optics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingglass depthReflection (physics)Diffuse reflectionSpecular reflection3D scanningbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUSVisible spectrum[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Entire reflective object surface structure understanding based on reflection motion estimation

2015

An sub-segmentation method for the reflective surface structure understanding.The use of reflection motion features as spatiotemporal coherence for video segmentation.Straightforward implementation.A building block for object recognition. The presence of reflection on a surface has been a long-standing problem for object recognition since it brings negative effects on object's color, texture and structural information. Because of that, it is not a trivial task to recognize the surface structure affected by the reflection, especially when the object is entirely reflective. Most of the cases, reflection is considered as noise. In this paper, we propose a novel method for entire reflective obj…

Surface (mathematics)business.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionObject (computer science)Artificial IntelligenceMotion estimationSignal ProcessingComputer visionComputer Vision and Pattern RecognitionNoise (video)Specular reflectionArtificial intelligenceReflection (computer graphics)businessSoftwareComputingMethodologies_COMPUTERGRAPHICSCoherence (physics)MathematicsPattern Recognition Letters
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Hyperspectral imager calibration using ceramic color tiles (Conference Presentation)

2019

Sets of chromatic and neutral ceramic tiles are widely used as measurement standards for reflectance factors in color applications. The usual instrument for color measurements is a spectrophotometer that measures the tiles using either a 0:45 or 45:0 illumination and viewing geometry, or with an integrating sphere in order to measure the reflectance factor in either specular excluded or specular included conditions. Having the corresponding measurements of the tile set from a calibrated instrument, systematic errors in the instrument under study can be diagnosed and corrected using a model of the errors and fitting it to the difference in measurements. One such is the Berns-Petersen model, …

WavelengthIntegrating sphereComputer sciencevisual_artvisual_art.visual_art_mediumHyperspectral imagingChromatic scaleSpecular reflectionTileImage sensorImage resolutionRemote sensingModeling Aspects in Optical Metrology VII
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Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging

2006

International audience; In the field of industrial vision, the three-dimensional inspection of highly reflective metallic objects is still a delicate task. We deal with a new automated three-dimensional inspection system based on polarization analysis. We first present an extension of the shape-from-polarization method for dielectric surfaces to metallic surfaces. Then, we describe what we believe to be a new way of solving the ambiguity concerning the normal orientation with an active lighting system. Finally, applications to shape-defect detection are discussed, and the efficiency of the system to discriminate defects on specular metallic objects made by stamping and polishing is presente…

polarization imagingComputer scienceMaterials Science (miscellaneous)Polishing02 engineering and technologyDielectric[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciencesIndustrial and Manufacturing EngineeringPhotometry010309 opticsImaging Three-DimensionalOptics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Image Interpretation Computer-AssistedMaterials Testing0103 physical sciences0202 electrical engineering electronic engineering information engineeringScattering RadiationSpecular reflectionBusiness and International Managementactive lightingLightingScatteringbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Equipment DesignStampingFresnel equationsPolarization (waves)metallic surfacesEquipment Failure AnalysisMetals020201 artificial intelligence & image processingMicroscopy PolarizationbusinessRefractive indexAlgorithmsshape from polarization
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