Search results for "mapping"

showing 10 items of 1508 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
researchProduct

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
researchProduct

Geometric représentations of the braid groups

2010

We show that the morphisms from the braid group with n strands in the mapping class group of a surface with a possible non empty boundary, assuming that its genus is smaller or equal to n/2 are either cyclic morphisms (their images are cyclic groups), or transvections of monodromy morphisms (up to multiplication by an element in the centralizer of the image, the image of a standard generator of the braid group is a Dehn twist, and the images of two consecutive standard generators are two Dehn twists along two curves intersecting in one point). As a corollary, we determine the endomorphisms, the injective endomorphisms, the automorphisms and the outer automorphism group of the following grou…

[ MATH ] Mathematics [math]rigidité[ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]morphisme de monodromieification de Nielsen Thurstonbraid groupGroup Theory (math.GR)[MATH] Mathematics [math]groupe de difféotopies[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]monodromieFOS: Mathematicssurface[MATH]Mathematics [math]représentation géométriquetransvectionmonodromymapping class groupMathematics::Geometric TopologyrigidityNielsen-Thurstongroupe de tressesAMS Subject Classification: Primary 20F38 57M07. Secondary 57M99 20F36 20E36 57M05.mapping groupMathematics - Group Theorygroupe de diffétopies
researchProduct

Embedding mapping class groups of orientable surfaces with one boundary component

2012

We denote by $S_{g,b,p}$ an orientable surface of genus $g$ with $b$ boundary components and $p$ punctures. We construct homomorphisms from the mapping class groups of $S_{g,1,p}$ to the mapping class groups of $S_{g',1,(b-1)}$, where $b\geq 1$. These homomorphisms are constructed from branched or unbranched covers of $S_{g,1,0}$ with some properties. Our main result is that these homomorphisms are injective. For unbranched covers, this construction was introduced by McCarthy and Ivanov~\cite{IM}. They proved that the homomorphisms are injective. A particular cases of our embeddings is a theorem of Birman and Hilden that embeds the braid group on $p$ strands into the mapping class group of …

[ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]Mapping class group. Automorphisms of free groups. Ordering. Ends of groupsMapping class group. Automorphisms of free groups. Ordering. Ends of groups.[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]Primary: 20F34; Secondary: 20E05 20E36 57M99.[MATH.MATH-GR] Mathematics [math]/Group Theory [math.GR]
researchProduct

On the classification of mapping class actions on Thurston's asymmetric metric

2011

AbstractWe study the action of the elements of the mapping class group of a surface of finite type on the Teichmüller space of that surface equipped with Thurston's asymmetric metric. We classify such actions as elliptic, parabolic, hyperbolic and pseudo-hyperbolic, depending on whether the translation distance of such an element is zero or positive and whether the value of this translation distance is attained or not, and we relate these four types to Thurston's classification of mapping class elements. The study is parallel to the one made by Bers in the setting of Teichmüller space equipped with Teichmüller's metric, and to the one made by Daskalopoulos and Wentworth in the setting of Te…

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]Teichmüller spacePure mathematicsMathematics::Dynamical SystemsGeneral MathematicsProduct metric01 natural sciencesIntrinsic metricMathematics - Geometric Topology[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]0103 physical sciencesFOS: Mathematics0101 mathematicsMathematics32G15 ; 30F60 ; 57M50 ; 57N05Teichmüller spaceMathematics::Complex VariablesInjective metric space010102 general mathematicsMathematical analysisThurston's asymmetric metricGeometric Topology (math.GT)mapping class groupSurface (topology)Mathematics::Geometric TopologyMapping class groupConvex metric spaceMetric (mathematics)010307 mathematical physicsMathematics::Differential Geometry
researchProduct

Finite index subgroups of mapping class groups

2011

Let g ≥ 3 and n ≥ 0, and let Mg,n be the mapping class group of a surface of genus g with n boundary components. We prove that Mg,n contains a unique subgroup of index 2g−1(2g − 1) up to conjugation, a unique subgroup of index 2g−1(2g + 1) up to conjugation, and the other proper subgroups ofMg,n are of index greater than 2g−1(2g+1). In particular, the minimum index for a proper subgroup of Mg,n is 2g−1(2g − 1). AMS Subject Classification. Primary: 57M99. Secondary: 20G40, 20E28. 0 Introduction and statement of results The interaction between mapping class groups and finite groups has long been a topic of interest. The famous Hurwitz bound of 1893 showed that the mapping class group of a clo…

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT][ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]General MathematicsGroup Theory (math.GR)01 natural sciencesUpper and lower bounds[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]CombinatoricsMathematics - Geometric Topologysymbols.namesake57M99SubgroupGenus (mathematics)[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]0103 physical sciencesFOS: MathematicsOrder (group theory)0101 mathematicsQuotientMathematicsRiemann surface010102 general mathematicsGeometric Topology (math.GT)Mapping class groupOrientation (vector space)symbols010307 mathematical physicsMathematics - Group Theory
researchProduct

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
researchProduct

Representing and Reasoning for Spatiotemporal Ontology Integration

2004

International audience; The World-Wide Web hosts many autonomous and heterogeneous information sources. In the near future each source may be described by its own ontology. The distributed nature of ontology development will lead to a large number of local ontologies covering overlapping domains. Ontology integration will then become an essential capability for effective interoperability and information sharing. Integration is known to be a hard problem, whose complexity increases particularly in the presence of spatiotemporal information. Space and time entail additional problems such as the heterogeneity of granularity used in representing spatial and temporal features. Spatio-temporal ob…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Information retrieval[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]Computer scienceOntologyProcess ontologyOntology-based data integrationSuggested Upper Merged OntologyIntegration[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]Spatio-Temporal data02 engineering and technologyOntology (information science)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Open Biomedical OntologiesMapping020204 information systemsOntology components0202 electrical engineering electronic engineering information engineeringUpper ontology020201 artificial intelligence & image processingOntology alignment
researchProduct

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
researchProduct

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]
researchProduct