Search results for "Depth"

showing 10 items of 408 documents

KOSMOS 2018 Gran Canaria mesocosm study: particle flux data from sediment trap

2021

The data set compiles sinking flux data collected during a KOSMOS mesocosm experiment carried out in the frame work of the Ocean Artificial Upwelling project. The experiment was performed in the North-East Atlantic Ocean off the coast of Gran Canaria in autumn 2018 and lasted for 39 days. In this study we investigated the effect of different intensities of artificial upwelling combined with two upwelling modes (recurring additions versus one singular addition) on POC export and its potential transfer efficiency to depth. The data set includes the amounts of surface water that were exchanged with nutrient-rich deep water (from ~300 m depth). It also contains particle flux data, i.e. POC flux…

DEPTH water experimentRemineralisation rate of carbon per dayNitrogenorganicOcean Artificial Upwelling Ocean artUpwaterartificial upwellingOcean Artificial Upwelling (Ocean-artUp)Particle porosityremineralization rateRemineralisation length scaleBiogenic silicaDATE TIMEparticle propertiesCarbon Nitrogen ratioCarbon Silicon ratioMesocosm labelparticulatetotalNitrogen organic particulate flux per dayflux per dayexperimentDeep water exchange totalCarbon organic particulate flux cumulativeMesocosm experimentcumulativeEvent labelsinking velocityCarbon/Silicon ratiocarbon sequestrationCarbonCarbon/Nitrogen ratiofluxexport fluxTreatmentNitrogen organic particulate flux cumulativeDeep water exchangeDATE/TIMEKOSMOS_2018DEPTHEarth System ResearchExperiment dayBiogenic silica flux per daymesocosm studyremineralization depthCarbon organic particulate flux per day
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Real-Time 3D Face Acquisition Using Reconfigurable Hybrid Architecture

2007

Acquiring 3D data of human face is a general problem which can be applied in face recognition, virtual reality, and many other applications. It can be solved using stereovision. This technique consists in acquiring data in three dimensions from two cameras. The aim is to implement an algorithmic chain which makes it possible to obtain a three-dimensional space from two two-dimensional spaces: two images coming from the two cameras. Several implementations have already been considered. We propose a new simple real-time implementation based on a hybrid architecture (FPGA-DSP), allowing to consider an embedded and reconfigurable processing. Then we show our method which provides depth map of …

Data processingComputer scienceReal-time computinglcsh:Electronicslcsh:TK7800-8360Virtual realityMetaverseFacial recognition systemComputer engineeringDepth mapFace (geometry)Pattern recognition (psychology)Signal ProcessingReference architectureElectrical and Electronic EngineeringInformation SystemsEURASIP Journal on Image and Video Processing
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Evaluation of Terra/MODIS atmospheric profiles product (MOD07) over the Iberian Peninsula: a comparison with radiosonde stations

2014

Remote sensing techniques are a useful tool for continuous observation of the Earth at global scale. However, products derived from remote sensing data require a rigorous validation using in situ data. Moderate Resolution Imaging Spectroradiometer (MODIS) is not really a sounding instrument, but it does have 16 infrared bands (bands 20–36 covering the spectral range from 3 µm to 14 µm) that allow the retrieval of temperature and moisture profiles as well as total column integrated magnitudes. In this paper we show the results obtained in the evaluation of MOD07 daytime and nighttime products over the Iberian Peninsula during the decade from 2000 to 2010 using nine radiosonde stations. Altho…

DaytimeMoistureMeteorologyStandard deviationComputer Science Applicationslaw.inventionDepth soundingGeographyDew pointlawRadiosondeGeneral Earth and Planetary SciencesModerate-resolution imaging spectroradiometerSoftwareWater vaporRemote sensingInternational Journal of Digital Earth
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Compréhension de scènes urbaines basées sur la polarisation

2021

Humans possess an innate ability to interpret scenes under any condition. Computer Vision tends to mimic these capabilities by implementing intelligent algorithms to address complex understanding problems. In this regard, we are interested in understanding outdoor urban scenes in various weather conditions. This thesis specifically addresses the problems arising from the presence of specularity in the scenes. To this end, we aim to take advantage of polarization indices to define such surfaces in addition to traditional objects. In terms of understanding, we aim to introduce polarization to the fields of computer vision and deep learning.This thesis focuses on the following underlying challeng…

Deep LearningSegmentation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]PolarimetryScene Understanding[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Estimation de profondeurDepth EstimationPolarimétrieCompréhension de scènes
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Compréhension de scènes urbaines basée sur la polarisation

2021

Humans possess an innate ability to interpret scenes under any condition. Computer Vision tends to mimic these capabilities by implementing intelligent algorithms to address complex understanding problems. In this regard, we are interested in understanding outdoor urban scenes in various weather conditions. This thesis specifically addresses the problems arising from the presence of specularity in the scenes. To this end, we aim to take advantage of polarization indices to define such surfaces in addition to traditional objects. In terms of understanding, we aim to introduce polarization to the fields of computer vision and deep learning.This thesis focuses on the following underlying chall…

Deep LearningSegmentation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer VisionVision par ordinateurPolarimetryScene understandingDepth estimationEstimation de profondeurPolarimétrieCompréhension de scène
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Real metrology by using depth map information

2004

Usually in an image no real information about the scene’s depth (in terms of absolute distance) is available. In this paper, a method that extracts real depth measures is developed. This approach starts considering a region located in the center of the depth map. This region can be positioned, interactively, in any part of the depth map in order to measure the real distance of every object inside the scene. The histogram local maxima of this region are determined. Among these values the biggest, that represents the gray-level of the most considerable object, is chosen. This gray-level is used in an exponential mapping function that converts, using the input camera settings, the depth map gr…

Depth from defocusComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFunction (mathematics)Object (computer science)Measure (mathematics)Image (mathematics)MetrologyDepth mapComputer Science::Computer Vision and Pattern RecognitionHistogramComputer visionArtificial intelligencebusiness
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Depth-based methods for clustering of functional data.

2017

The problem of detecting clusters is a common issue in the analysis of functional data and some interesting intuitions from approaches relied on depth measures can be considered for construction of basic tools for clustering of curves. Motivated by recent contributions on the problem clustering and alignment of functional data, we also consider the problem of aligning a set of curves when classification procedures are implemented. The variability among curves can be interpreted in terms of two components, phase and amplitude; phase variability, or misalignment, can be eliminated by aligning the curves, according to a similarity index and a warping function. Some approaches address the misal…

Depth function FDA Clustering of curvesSettore SECS-S/01 - Statistica
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Skulls, Tree Bark, Fossils

2021

AbstractStudies of material objects in the field of memory studies have followed diverse epistemological and disciplinary trajectories, but their shared characteristic has been the questioning of philosophical assumptions concerning human relations with inanimate things and lower-level organic objects, such as plants, within the Aristotelian hierarchy of beings. Rather than accept at face value their categorizations as passive or deficient in comparison to the human subject, critical scholarship has reformulated the place and role of nonhuman entities in culture. This essay examines the nexus of materiality and memory in the work of the French philosopher and art historian Georges Didi-Hube…

Didi-Huberman GeorgestaidememoryplasticityfilosofiataidehistorioitsijattaidehistoriaGeneral Earth and Planetary Sciencesaineellinen kulttuurisurface/depthmemory objectsmaterialitytaidefilosofiamuisti (kognitio)materiaalisuusGeneral Environmental ScienceQui Parle
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Versuche zur Lichtbeugung an Ultraschall in Quarz

1967

Diffraction of a continuous laser beam (He-Ne) by standing ultrasonic waves of 260 Mcs/s in quartz has been investigated. Besides the principal maximum at exact Bragg-incidence, the variation of intensity of first order diffraction pattern with tilt angle shows up to 15 secondary maxima. The effective depth of sound field and the maximum variation of refractive index were determined by comparison with the theory ofBhatia andNoble.

DiffractionNuclear and High Energy PhysicsMaterials sciencebusiness.industryPhysics::OpticsEffective depthIntensity (physics)Tilt (optics)OpticsUltrasonic sensorMaximabusinessRefractive indexQuartzZeitschrift f�r Physik
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Devil's lenses.

2007

In this paper we present a new kind of kinoform lenses in which the phase distribution is characterized by the “devil’s staircase” function. The focusing properties of these fractal DOEs coined devil’s lenses (DLs) are analytically studied and compared with conventional Fresnel kinoform lenses. It is shown that under monochromatic illumination a DL give rise a single fractal focus that axially replicates the self-similarity of the lens. Under broadband illumination the superposition of the different monochromatic foci produces an increase in the depth of focus and also a strong reduction in the chromaticity variation along the optical axis.

DiffractionPhysicsDepth of focusKinoformbusiness.industryPhysics::OpticsAtomic and Molecular Physics and Opticslaw.inventionOptical axisLens (optics)Superposition principleOpticsFractallawMonochromatic colorbusinessOptics express
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