Search results for " Mapping"

showing 10 items of 1411 documents

A 1.3 megapixel FPGA-based smart camera for high dynamic range real time video

2013

International audience; A camera is able to capture only a part of a high dynamic range scene information. The same scene can be fully perceived by the human visual system. This is true especially for real scenes where the difference in light intensity between the dark areas and bright areas is high. The imaging technique which can overcome this problem is called HDR (High Dynamic Range). It produces images from a set of multiple LDR images (Low Dynamic Range), captured with different exposure times. This technique appears as one of the most appropriate and a cheap solution to enhance the dynamic range of captured environments. We developed an FPGA-based smart camera that produces a HDR liv…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo camera02 engineering and technologyTone mapping[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processinglaw.invention[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinglaw0202 electrical engineering electronic engineering information engineeringComputer visionSmart cameraHigh dynamic range[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingCMOS sensorbusiness.industry020206 networking & telecommunicationsFrame rateLight intensityHuman visual system model020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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HDR-ARtiSt: High Dynamic Range Advanced Real-Time Imaging System

2012

International audience; This paper describes the HDR-ARtiSt hardware platform, a FPGA-based architecture that can produce a real- time high dynamic range video from successive image acquisition. The hardware platform is built around a standard low dynamic range (LDR) CMOS sensor and a Virtex 5 FPGA board. The CMOS sensor is a EV76C560 provided by e2v. This 1.3 Megapixel device offers novel pixel integration/readout modes and em- bedded image pre-processing capabilities including multiframe acquisition with various exposure times. Our approach consists of a hardware architecture with different algorithms: double exposure control during image capture, building of an HDR image by combining the…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceHardware platformReal-time computingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingVideo camera02 engineering and technologyTone mapping[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processinglaw.invention[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessinglawHistogram0202 electrical engineering electronic engineering information engineeringHigh dynamic rangeFPGA[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingHardware architectureCMOS sensorLiquid-crystal displayreal timePixelbusiness.industryDynamic range020207 software engineeringHigh Dynamic RangeFrame rate[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronicsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsIEEE020201 artificial intelligence & image processingbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputer hardware
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Conjugate times for smooth singular trajectories and bang-bang extremals

2003

Abstract In this paper we discuss the problem of estimating conjugate times along smooth singular or bang-bang extremals. For smooth extremals conjugate times can be defined in the generic case by using the intrinsic second order derivative or the exponential mapping. An algorithm is given which was implemented in the SR-case to compute the caustic [1] or in recent applied problems [5],[9]. We investigate briefly the problem of using this algorithm in the bang-bang case by smoothing the corners of extremals

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyPhysics::General Physics010102 general mathematicsMathematical analysis[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]02 engineering and technology01 natural sciences020901 industrial engineering & automationExponential mappingCaustic (optics)[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematicsBang bangBang–bang controlSmoothingMathematicsConjugateSecond derivative
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Inverse Tone Mapping Based upon Retina Response

2014

International audience; The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor. This paper proposed a novel physiological approach, which could avoid artifacts occurred in most existing algorithms. Inspired by the property of the human visual system (HVS), this dynamic range expansion scheme performs with a low computational complexity and a limited number of parameters and obtains high-quality HDR results. Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Computational complexity theoryArticle SubjectComputer sciencemedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:MedicineTone mappinglcsh:TechnologyRetinaGeneral Biochemistry Genetics and Molecular BiologyImage (mathematics)BiomimeticsDistortionImage Interpretation Computer-AssistedHumansContrast (vision)Computer visionlcsh:ScienceHigh dynamic rangeGeneral Environmental Sciencemedia_commonDynamic rangebusiness.industrylcsh:Tlcsh:RGeneral MedicineImage EnhancementHuman visual system modellcsh:QArtificial intelligence[ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR]businessAlgorithmsColor PerceptionResearch ArticleThe Scientific World Journal
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Sharing spatial data with a 3D component as a collaborative and dissemination tool for archaeology: conceptual challenges and technical issues

2018

International audience; Due to INSPIRE directive, various spatial data infrastructure (SDI) were developed to support research activities. In practice, these toolsremain underexploited by researcher for many reasons. First, their use is time-consuming and researchers usually consider that they provide noimmediate benefits. Second, their use is often complex and needs a substantial investment for researchers who have a limited expertise in spatial data. Finally, often based on 2D GIS environment, they do not provide an adequate tool for collaborative research in archaeology. From this experience, an interdisciplinary team designed and developed an SDI based on GeOrchestra, synchronized with …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR][INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR][SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[INFO.INFO-WB] Computer Science [cs]/Web3D visualization[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryhistorical datametadata[INFO.INFO-WB]Computer Science [cs]/Webspatial data infrastructure[INFO]Computer Science [cs]web mapping[INFO] Computer Science [cs]
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Semantic Mappings in Description Logics for Spatio-temporal Database Schema Integration

2005

International audience; The interoperability problem arises in heterogeneous systems where different data sources coexist and there is a need for meaningful information sharing. One of the most representive realms of diversity of data representation is the spatio-temporal domain. Spatio-temporal data are most often described according to multiple and greatly diverse perceptions or viewpoints, using different terms and with heterogeneous levels of detail. Reconciling this heterogeneity to build a fully integrated database is known to be a complex and currently unresolved problem, and few formal approaches exist for the integration of spatio-temporal databases. The paper discusses the interope…

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Theoretical computer scienceComputer scienceNCCR-MICSmedia_common.quotation_subjectNCCR-MICS/CL4Database schema[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]02 engineering and technologyExternal Data RepresentationConceptual schemaDescription logicSemantic mapping020204 information systems0202 electrical engineering electronic engineering information engineeringConceptual model[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingSemantic Webmedia_commonInformation integration
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PPHD: une plateforme pour le phenotypage a haut debit

2012

International audience; The methodologies for genotyping and high throughput automated platforms for the production of type-omics (genomics, transcriptomics, protected omics ...) have greatly increased over the last few years and are now available to analyze the expression of genes of plants in several environmental conditions. However, a break of conceptual and technical services, non-destructive characterization and dynamic phenotypes, at the organ or plarite, has hundreds of related genotypes (Broadband) remains the limiting factor for the discovery of new characters or new varieties. This systematic exploration of diversity. Genetics within a species or between species requires platform…

[SDE] Environmental Sciences[SDV]Life Sciences [q-bio]phenotypesgenetic analysisgenetic diversity[SDV] Life Sciences [q-bio]crossesgenotypes[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologygenetic mappingleavestechniquesmutants
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Mapping intra-plot topsoil diversity of Burgundy vineyards (Aloxe- Corton, France) from very high spatial resolution (VHSR) images

2012

International audience; In this work, we present a method based on very high spatial resolution (VHSR) aerial images acquired in the visible domain and that map soil surface diversity at the hillslope scale with a spatial resolution of a few centimeters. This method combines aerial VHSR image classification with local soil sampling. Principal component analysis (PCA) and non-supervised classification was performed on image characteristics to define soil surface characteristic classes (SSC). Then soil surface mapping was combined with soil surface descriptions and soil profiles to define soil types by physical and chemical characteristics.

[SDE] Environmental Sciences[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[SDE.ES]Environmental Sciences/Environmental and Societysoil surface characteristics[ SDE ] Environmental SciencesvineyardsSoil mapping[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SDE]Environmental Sciencesunmanned aerial vehicle[SDE.ES] Environmental Sciences/Environmental and Societyvery high spatial resolution[ SDE.ES ] Environmental Sciences/Environmental and Society
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Les terroirs viticoles : une méthodologie de zonage en fonction du sol

2010

Terroir is a key-concept in viticulture that is more and more widely recognized to explain variations in wine quality and wine style. Terroir refers to an area and thus possesses a geographical dimension. Hence, zoning of viticultural terroir is necessary. This paper addresses soil related aspects of terroir zoning. The first step of the zoning process is a clear identification of the objectives that are being pursued: demarcation of production areas, the adaptation of the viticultural management practices to variations in soil types or the protection of viticultural landscapes. The second step is the definition of a scale adapted to the objectives. The precision of the zoning increases wit…

[SDE] Environmental Sciencessolterroirzoning[SDV]Life Sciences [q-bio]viticulture terroir zonage sol vin cartographie échelleviticulturesoilscale[SDV] Life Sciences [q-bio]échelle[SDE]Environmental Sciencesvin[SDV.BV]Life Sciences [q-bio]/Vegetal Biologycartographieviticulture terroir zoning soil vine mapping scalezonage[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyvinemapping
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Sensory attributes of Rioja red wines and their relationship with quality perception of consumers

2014

Póster presentado en la Third Edition of International Conference Series on Wine Active Compounds (WAC2014), celebrada en Borgoña (Francia) del 26 al 28 de marzo de 2014.

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesPreference mappingWineSensory analysis[SDV.AEN]Life Sciences [q-bio]/Food and NutritionClustering[SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
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