Search results for "Computer Vision and Pattern Recognition"

showing 10 items of 997 documents

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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The Large Area Detector of LOFT: the Large Observatory for X-ray Timing

2014

LOFT (Large Observatory for X-ray Timing) is one of the five candidates that were considered by ESA as an M3 mission (with launch in 2022-2024) and has been studied during an extensive assessment phase. It is specifically designed to perform fast X-ray timing and probe the status of the matter near black holes and neutron stars. Its pointed instrument is the Large Area Detector (LAD), a 10 m 2 -class instrument operating in the 2-30keV range, which holds the capability to revolutionise studies of variability from X-ray sources on the millisecond time scales. The LAD instrument has now completed the assessment phase but was not down-selected for launch. However, during the assessment, most o…

[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Observatories ; Sensors ; X-rays ; Equipment and services ; X-ray sourcesComputer scienceObservatoriesFOS: Physical sciencesX-ray sources01 natural sciences7. Clean energyX-rayLoftObservatoryRange (aeronautics)0103 physical sciencesX-raysElectronicTimingOptical and Magnetic MaterialsElectrical and Electronic Engineering010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Compact Objects; Timing; X-ray; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringRemote sensingMillisecondEquipment and servicesCompact Objects010308 nuclear & particles physicsLarge area detectorSensorsApplied MathematicsComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter Physics[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Neutron starAstrophysics - Instrumentation and Methods for Astrophysicsastro-ph.IM
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LOFT: the Large Observatory For X-ray Timing

2012

The LOFT mission concept is one of four candidates selected by ESA for the M3 launch opportunity as Medium Size missions of the Cosmic Vision programme. The launch window is currently planned for between 2022 and 2024. LOFT is designed to exploit the diagnostics of rapid X-ray flux and spectral variability that directly probe the motion of matter down to distances very close to black holes and neutron stars, as well as the physical state of ultra-dense matter. These primary science goals will be addressed by a payload composed of a Large Area Detector (LAD) and a Wide Field Monitor (WFM). The LAD is a collimated (<1 degree field of view) experiment operating in the energy range 2-50 keV,…

[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]VisionX-ray timingAstronomySPIE ProceedingsObservatoriesX-ray timing X-ray spectroscopy X-ray imaging compact objectsSilicon Drift ChambersFOS: Physical sciencesddc:500.2X-ray missionsSpace (mathematics)Astrophysics01 natural sciences7. Clean energySettore FIS/05 - Astronomia E AstrofisicaX-rays0103 physical sciencesElectronicOptical and Magnetic MaterialsInstrumentation (computer programming)Electrical and Electronic EngineeringAerospace engineeringDiagnosticsCompact objects010303 astronomy & astrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)PhysicsSpatial resolutionsezeleSensors010308 nuclear & particles physicsbusiness.industryApplied MathematicsX-ray imagingSilicon Drift ChamberComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter PhysicsCompact objects; X-ray imaging; X-ray spectroscopy; X-ray timing; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic Engineering[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]X-ray spectroscopySilicon Drift Chambers; X-ray missionsInstrumentation and Methods for AstrophysicsAstrophysics - Instrumentation and Methods for Astrophysicsbusiness
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Procede de commande de pulverisation, dispositif et programme correspondant

2020

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
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Impression 3D et propriété intellectuelle: Un aperçu français

2019

Technological developments and the expiry of patents in three-dimensional printing are making this technology less and less expensive and with increased performance. Now widespread in the manufacturing industry, 3D printing is about to cross the threshold of our homes. The dematerialization of objects into exchangeable digital files raises many questions about the enforcement of intellectual property rights in French Law.

[SHS.DROIT]Humanities and Social Sciences/Law[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SHS.DROIT] Humanities and Social Sciences/Law[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SHS] Humanities and Social Sciences[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][SHS]Humanities and Social Sciences
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