Search results for "Pattern"

showing 10 items of 4203 documents

Extraction de primitives à partir d'images de lumière structurée

2013

National audience; Les attributs géométriques tels que la courbure ou la normale constituent des informations complémentaires aux points 3D obtenus suite à la numérisation d'une surface ou d'un objet. Dans la chaine 3D classique, présentant une structure séquentielle, ces informations sont déterminées à partir du nuage de points dense (issus par exemple d'un scanner 3D). Par la suite, elles sont utilisées pour diminuer la quantité d'information et permettre ainsi d'aboutir à un modèle simplifié (compressé ou modélisé sous forme de primitives). Dans cet article, nous nous intéressons à la possibilité d'extraire certains des attributs mentionnés plus haut, directement à partir des images 2D o…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]orientation de surfaceCourbure[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]numérisa- tion 3Ddiscontinuité[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]lumière structurée.lumière structurée
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Using Visual Saliency for Object Tracking with Particle Filters

2010

International audience; This paper presents a robust tracking method based on the integration of visual saliency information into the particle filter framework. While particle filter has been successfully used for tracking non-rigid objects, it shows poor performances in the presence of large illumination variation, occlusions and when the target object and background have similar color distributions. We show that considering saliency information significantly improves the performance of particle filter based tracking. In particular, the proposed method is robust against occlusion and large illumination variation while requiring a reduced number of particles. Experimental results demonstrate th…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]particle filters0202 electrical engineering electronic engineering information engineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineering020201 artificial intelligence & image processing02 engineering and technologytracking[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_COMPUTERGRAPHICSvisual saliency
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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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Estimation des Cartes du Temps de Collision (TTC) en Vision Para-catadioptrique

2013

National audience; Le temps de contact ou le temps de collision (TTC) est une information importante pour la navigation et l'évitement d'obtacles. Son estimation a largement été étudiée dans le cas des caméras perspectives. Par contre, très peu de travaux ont été effectués sur ce sujet pour les caméras catadioptriques, alors qu'elles sont très utiles, notamment, en navigation des robots mobiles. L'objectif de cet article, est de proposer un nouveau modèle d'estimation du TTC pour les caméras paracatadioptriques basé sur le flot optique, en adaptant celui développé pour les caméras perspectives. Le calcul du TTC en chaque pixel permet d'obtenir la carte des temps de collision. Nous avons val…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]vision omnidirectionnelleévitement d'obstacle.[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Temps de collision[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]évitement d'obstacle[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]TTC
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Etude de caméras sphériques : du traitement des images aux applications en robotique

2012

La vision omnidirectionnelle permet de percevoir l'environnement sur 360◦. C'est un atout considérable pour un robot mobile puisque grâce à cette particularité, il peut tirer parti d'une information globale de la scène à tout moment. Les premières recherches allant dans ce sens remontent en 1990 avec les travaux de Yasushi Yagi qui a proposé d'utiliser un dispositif nommé COPIS en associant une caméra perspective et un miroir conique pour obtenir une vue panoramique de la scène. En 1995, Mouaddib et Pégard présentent un procédé similaire pour localiser un robot dans son environnement. Bien que ce système possède des avantages pour la localisation, il se révèle peu adéquat pour reconstruire …

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]vision par ordinateur[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]vision pour la robotique
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Estimation de mouvement d'un système stéréoscopique hybride à partir des droites

2010

We present a motion estimation approach for hybrid stereo rigs using line images. The proposed method can be applied to a hybrid system built up from any single view point (SVP) cameras such as perspective, central catadioptric and fisheye cameras. Such configuration combines advantageous characteristics of different types of cameras. Images captured by SVP imaging devices may be mapped to spherical images using the unified projection model. It is possible to recover the camera orientations using vanishing points of parallel line sets. We then estimate the translations from known rotations and line images on the spheres. The algorithm has been validated on simulated data and real images tak…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]vision stéréoscopiquenavigation de robotsEstimation du mouvement[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]
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On Keyframe Positioning for Pose Graphs Applied to Visual SLAM

2013

International audience; In this work, a new method is introduced for localization and keyframe identification to solve a Simultaneous Localization and Mapping (SLAM) problem. The proposed approach is based on a dense spherical acquisition system that synthesizes spherical intensity and depth images at arbitrary locations. The images are related by a graph of 6 degrees-of-freedom (DOF) poses which are estimated through spherical registration. A direct image-based method is provided to estimate pose by using both depth and color information simultaneously. A new keyframe identification method is proposed to build the map of the environment by using the covariance matrix between raletive 6 DOF…

[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.AUTO]Engineering Sciences [physics]/Automatic[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.AUTO] Engineering Sciences [physics]/AutomaticComputer Science::Computer Vision and Pattern Recognition[ SPI.AUTO ] Engineering Sciences [physics]/Automatic[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingComputingMethodologies_COMPUTERGRAPHICS
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Performance evaluation of Wireless Sensor Networks based on ZigBee technology in smart home

2013

International audience; Wireless Sensor Networks (WSNs) has diverse application domains such as smart home, smart care, industrial, etc. In this paper, we present a WSN system based on the ZigBee technology (IEEE 802.15.4) in Smart Home. To have a good sensor networks communication implanted in a smart home, studies of operating performance on this network is important. In this work, we investigate the performance of our ZigBee sensor networks. The study of performance is based on measurements of the Received Signal Strength Indicator (RSSI) in different parts of the Home. We will also discuss the impact of electromagnetic noise on the communication performance of a ZigBee Sensor Network in…

[INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-IM] Computer Science [cs]/Medical Imaging[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ 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][ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[SPI.ELEC] Engineering Sciences [physics]/ElectromagnetismComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][ SPI.ELEC ] Engineering Sciences [physics]/Electromagnetism[ INFO.INFO-SY ] Computer Science [cs]/Systems and Control [cs.SY][INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]
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Stratified Autocalibration of Cameras with Euclidean Image Plane

2020

International audience; This paper tackles the problem of stratified autocalibration of a moving camera with Euclidean image plane (i.e. zero skew and unit aspect ratio) and constant intrinsic parameters. We show that with these assumptions, in addition to the polynomial derived from the so-called modulus constraint, each image pair provides a new quartic polynomial in the unknown plane at infinity. For three or more images, the plane at infinity estimation is stated as a constrained polynomial optimization problem that can efficiently be solved using Lasserre's hierarchy of semidefinite relaxations. The calibration parameters and thus a metric reconstruction are subsequently obtained by so…

[INFO.INFO-SY] Computer Science [cs]/Systems and Control [cs.SY][INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringComputingMilieux_MISCELLANEOUS
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Gray code for compositions of n with parts 1 and p

2009

International audience

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]permutation avoiding pattern[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Fibonacci numbercomposition of an integerGray codeComputingMilieux_MISCELLANEOUS
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