Search results for "Gielis Curves"

showing 4 items of 4 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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct