Search results for "curves"

showing 10 items of 152 documents

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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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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Scaling symmetries and optimization of the refractive index profile in optical fibers

2019

The optical fiber refractive index profile has a significant role in the optical devices fabrication like fiber Bragg gratings (FBG) and acousto-optic devices and the way guided light interacts in the presence of external factors like strain, stress or even bends. The analysis of the fiber profile gets to be feasible throughout understanding the properties of the optical guided modes such as the effective index, group index, and the chromatic dispersion. Taking a broader look at previous publications that use standard commercial optical fibers, it becomes noticeable that the ideal core-cladding step index profile gives incompatible results when it comes to the experimental versus the simula…

bragg gratingoptical fiberUNESCO::FÍSICA::Ópticarefractive index profilescaling transformation:FÍSICA::Óptica ::Fibras ópticas [UNESCO]acousto-optic-interaction:FÍSICA::Óptica [UNESCO]Physics::Opticsmode couplingdispersion curvesUNESCO::FÍSICA::Óptica ::Fibras ópticas
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The contribution to poverty persistence of children, adults, and the elderly: some empirical evidences from eleven European countries

2012

This paper aims to communicate a new conceptualization of persistent poverty used to build the class of longitudinal poverty indices by Mendola et al. (2011), and to show how these indices could be helpful in analyzing the characteristics of persistence of poverty in different age groups. The indices are based upon the idea that the longer the sequence of consecutive high poverty gaps is, the worse the situation experienced. An empirical application on European Community Household Panel data compares the contributions of age groups to the overall index in some European countries and allows to identify the strata of population more exposed to poverty persistence.

chronic poverty demographic weight TIP curvesSettore SECS-S/05 - Statistica SocialeSettore SECS-S/04 - Demografia
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A new approach for clustering of effects in quantile regression

2017

In this paper we aim at nding similarities among the coefficients from a multivariate regression. Using a quantile regression coefficients modeling, the effect of each covariate, given a response (also multivariate) is a curve in the multidimensional space of the percentiles. Collecting all the curves, describing the effects of each covariate on each response variable, we could be able to assess if only one or more covariates have same effects on different responses.

curves clustering; quantile regression coefficients modeling; multivariate analysis; functional datacurves clusteringmultivariate analysiSettore SECS-S/01 - Statisticaquantile regression coefficients modelingfunctional data
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Differential constraints for iteratively generated curves

2021

Roughness is a complex concept, that is multiscale, and based on the study of the local behavior of a curve or a surface in a given neighborhood. A large number of conventional statistical parameters are currently available to attempt to appreciate this concept in the different application areas that make use of it. But it is often difficult, for a given application domain or a special need, to know precisely which parameter(s) connect(s) the topography of a surface to the physical phenomena that it undergoes. We believe that a geometric characterization should be more suitable. We suggest to control roughness by exploiting the differential behavior of curves and surfaces. We are interested…

curvesdifferential behaviorcontinuity constraints[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationcontrolroughnessBC-IFS
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Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

2019

Aim Species-area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non-forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation-plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throu…

curvesshapesspecies– area relationship (SAR)Michaelis–Menten functionBiomeGrasslandVegetation typelogarithmic functionTaxonomic rankLichenNested‐plot Samplinggeography.geographical_feature_categorypower lawEcologyVDP::Landbruks- og Fiskerifag: 900biologyEcologySettore BIO/02 - Botanica SistematicaPalaearctic grasslandspecies-area relationship (SAR)Grasslandddc:nonlinear regressionscale dependenceMichaelis–Menten Functionlogarithmic function; Michaelis–Menten function; minimal area; nested-plot sampling; nonlinear regression; Palaearctic grassland; plant biodiversity; power law; scaling law; species–area relationship (SAR)environmentnested‐plot sampling570Evolutionscaling lawSpecies-area relationshipminimal areadiversityspecies–area relationship (SAR)Behavior and Systematicsspecies- area relationship (SAR)ddc:570577: Ökologienested-plot samplingEcology Evolution Behavior and Systematics580geographymodelfungiBiology and Life Sciences500Species diversityPlant communitySpecies–area Relationship (SAR)Earth and Environmental SciencesMichaelis-Menten functionplant biodiversitySpecies richnessrichness
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Euler Characteristics of Moduli Spaces of Curves

2005

Let ${mathcal M}_g^n$ be the moduli space of n-pointed Riemann surfaces of genus g. Denote by ${\bar {\mathcal M}}_g^n$ the Deligne-Mumford compactification of ${mathcal M}_g^n$. In the present paper, we calculate the orbifold and the ordinary Euler characteristic of ${\bar {\mathcal M}}_g^n$ for any g and n such that n>2-2g.

euler characteristicPure mathematicsModular equationApplied MathematicsGeneral MathematicsRiemann surfaceMathematical analysisModuli spaceModuli of algebraic curvesRiemann–Hurwitz formulasymbols.namesakeMathematics - Algebraic GeometryMathematics::Algebraic GeometryEuler characteristicGenus (mathematics)symbolsFOS: Mathematicsmoduli spaceAlgebraic Topology (math.AT)Compactification (mathematics)Settore MAT/03 - GeometriaMathematics - Algebraic TopologyAlgebraic Geometry (math.AG)Mathematics
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Growth curves of sorghum roots via quantile regression with P-splines

2014

Plant roots are a major pool of total carbon in the planet and their dynamics are directly relevant to greenhouse gas balance. Composted wastes are increasingly used in agriculture for environmental and economic reasons and their role as a substitute for traditional fertilizers needs to be tested on all plant components. Here we propose a regression quantile approach based on P-splines to assess, quantify and compare the root growth patterns in two treatment groups respectively undergoing compost and traditional fertilization.

growth curves quantile regression penalized splines noncrossing curves
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Comparison of two sensory methods to obtain reliable dose-intensity curves for sweet taste compounds

2021

International audience

gustometer[SDV.AEN] Life Sciences [q-bio]/Food and Nutritiondose-response curves[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.IDA] Life Sciences [q-bio]/Food engineeringsweetness[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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