Search results for "IS curve"

showing 6 items of 6 documents

Universal natural shapes: From unifying shape description to simple methods for shape analysis and boundary value problems

2012

Gielis curves and surfaces can describe a wide range of natural shapes and they have been used in various studies in biology and physics as descriptive tool. This has stimulated the generalization of widely used computational methods. Here we show that proper normalization of the Levenberg-Marquardt algorithm allows for efficient and robust reconstruction of Gielis curves, including self-intersecting and asymmetric curves, without increasing the overall complexity of the algorithm. Then, we show how complex curves of k-type can be constructed and how solutions to the Dirichlet problem for the Laplace equation on these complex domains can be derived using a semi-Fourier method. In all three …

Evolutionary algorithmlcsh:MedicineGeometryBioinformaticsCurvature[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Plant Genetics01 natural sciences03 medical and health sciencessymbols.namesake[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]Non-Euclidean geometryApplied mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Boundary value problemBounday Value Problem0101 mathematicslcsh:ScienceBiologyMathematical ComputingGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)030304 developmental biologyLaplace's equationPhysicsDirichlet problem0303 health sciencesMultidisciplinaryPhysicsApplied Mathematicslcsh:R010102 general mathematicsComputational Biology[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Laplace equationModels TheoreticalGielis CurvesFourier analysisComputer Sciencesymbolslcsh:QEngineering sciences. TechnologyAlgorithmsMathematicsShape analysis (digital geometry)Research ArticleDevelopmental BiologyComputer Modeling
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A robust evolutionary algorithm for the recovery of rational Gielis curves

2013

International audience; Gielis curves (GC) can represent a wide range of shapes and patterns ranging from star shapes to symmetric and asymmetric polygons, and even self intersecting curves. Such patterns appear in natural objects or phenomena, such as flowers, crystals, pollen structures, animals, or even wave propagation. Gielis curves and surfaces are an extension of Lamé curves and surfaces (superquadrics) which have benefited in the last two decades of extensive researches to retrieve their parameters from various data types, such as range images, 2D and 3D point clouds, etc. Unfortunately, the most efficient techniques for superquadrics recovery, based on deterministic methods, cannot…

OptimizationEvolutionary algorithmInitializationR-functions02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Artificial IntelligenceRobustness (computer science)Evolutionary algorithmSuperquadricsGielis curves0202 electrical engineering electronic engineering information engineeringBiologyMathematicsComputer. AutomationSuperquadrics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringMissing dataEuclidean distanceMaxima and minimaSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionGradient descentAlgorithmEngineering sciences. TechnologySoftwarePattern recognition
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A Small Forward-Looking Macroeconomic Model for EMU

2001

In this paper we estimate a small forward-looking macroeconomic model for EMU which allows us to analyze the transmission mechanism of the monetary policy implemented by the European Central Bank through an interest rate rule that stabilizes inflation and output. The estimation of this model, which comprises forward-looking versions of the IS and the Phillips curves as well as the interest rate rule, is conducted by GMM using quarterly data from 1986 to 2000. We find that this simple model matches the dynamic properties of the output gap, inflation and the interest rate in EMU quite accurately. We also perform several exercises that show the response of output, inflation and interest rates …

Inflationmedia_common.quotation_subjectMonetary policyjel:E32IS curveinflationinterest rate rulemonetary policyjel:E52Monetary economicsjel:E31Interest rateNominal interest rateOutput gapEconomicsFisher hypothesisReal interest rateRendleman–Bartter modelmedia_commonSSRN Electronic Journal
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Boolean operations with implicit and parametric representation of primitives using R-functions

2005

We present a new and efficient algorithm to accurately polygonize an implicit surface generated by multiple Boolean operations with globally deformed primitives. Our algorithm is special in the sense that it can be applied to objects with both an implicit and a parametric representation, such as superquadrics, supershapes, and Dupin cyclides. The input is a constructive solid geometry tree (CSG tree) that contains the Boolean operations, the parameters of the primitives, and the global deformations. At each node of the CSG tree, the implicit formulations of the subtrees are used to quickly determine the parts to be transmitted to the parent node, while the primitives' parametric definition …

Surface (mathematics)Theoretical computer scienceComputer scienceInformation Storage and Retrieval02 engineering and technologyConstructive solid geometryImaging Three-DimensionalParametric surfaceSuperquadricsImage Interpretation Computer-Assisted[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringparametric surfaceDifferentiable functionBoolean functionRepresentation (mathematics)ComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICSParametric statisticsGielis curveImplicit functionNumerical analysis020207 software engineeringNumerical Analysis Computer-Assistedsupershape[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]Computational geometryImage EnhancementComputer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Vertex (geometry)Tree (data structure)Mesh generation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Signal ProcessingCurve fitting020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAlgorithmSoftwareAlgorithms
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A NEW POTENTIAL FUNCTION FOR SELF INTERSECTING GIELIS CURVES WITH RATIONAL SYMMETRIES

2009

International audience; We present a new potential field equation for self-intersecting Gielis curves with rational rotational symmetries. In the literature, potential field equations for these curves, and their extensions to surfaces, impose the rotational symmetries to be integers in order to guarantee the unicity of the intersection between the curve/surface and any ray starting from its center. Although the representation with natural symmetries has been applied to mechanical parts modeling and reconstruction, the lack of a potential function for Rational symmetry Gielis Curves (RGC) remains a major problem for natural object representation, such as flowers and phyllotaxis. We overcome thi…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]superquadricsparametric functionsR-functions[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]implicit functionsGielis curves and surfacessymmetry
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Road Signs Detection and Reconstruction using Gielis Curves

2012

International audience; Road signs are among the most important navigation tools in transportation systems. The identification of road signs in images is usually based on first detecting road signs location using color and shape information. In this paper, we introduce such a two-stage detection method. Road signs are located in images based on color segmentation, and their corresponding shape is retrieved using a unified shape representation based on Gielis curves. The contribution of our approach is the shape reconstruction method which permits to detect any common road sign shape, i.e. circle, triangle, rectangle and octagon, by a single algorithm without any training phase. Experimental…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Gielis curves.Color segmentationRoad sign detectionGielis curves[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Contour fitting
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