71 research outputs found

    Clearance vs. tolerance for rigid overconstrained assemblies

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    International audienceIn order to manage quality, companies need to predict performance varia-tions of products due to the manufacturing components deviations. Usually, to enable the assembly of overconstrained mechanical structure, engineers introduce clearance inside joints. We call mechanical assembly, a set of undeformable components connected together by mechanical joints. This paper presents a solution: firstly, to compute the minimum value of clearance for any given components sizes, and, secondly, to simulate variation of the minimum clearance value when the components dimensions vary between two limits. To achieve this goal, a regularized closure function G is defined. It depends on dimensional parameters, u, representing components dimensions, on positional parameters, p, representing components positions and on clearance parameters, j, representing mechanical joints clearance. A constrained optimization problem is solved to determine the minimum clearance value. An imaginative solution based on numerical integration of an ordinary differential equation is proposed to show the clearance variation. The method is designed to be used during the preliminary phase of overcontrained assemblies design. An advantage is the small number of input data unlike the tolerance analysis dedicated software

    Control of a PTZ camera in a hybrid vision system

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    In this paper, we propose a new approach to steer a PTZ camera in the direction of a detected object visible from another fixed camera equipped with a fisheye lens. This heterogeneous association of two cameras having different characteristics is called a hybrid stereo-vision system. The presented method employs epipolar geometry in a smart way in order to reduce the range of search of the desired region of interest. Furthermore, we proposed a target recognition method designed to cope with the illumination problems, the distortion of the omnidirectional image and the inherent dissimilarity of resolution and color responses between both cameras. Experimental results with synthetic and real images show the robustness of the proposed method

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∌99% of the euchromatic genome and is accurate to an error rate of ∌1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Hybrid foveated vision system for video surveillance and robotic navigation

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    L'objectif principal de ce travail de thĂšse est l'Ă©laboration d'un systĂšme de vision binoculaire mettant en oeuvre deux camĂ©ras de types diffĂ©rents. Le systĂšme Ă©tudiĂ© est constituĂ© d'une camĂ©ra de type omnidirectionnelle associĂ©e Ă  une camĂ©ra PTZ. Nous appellerons ce couple de camĂ©ras un systĂšme de vision hybride. L'utilisation de ce type de capteur fournit une vision globale de la scĂšne Ă  l'aide de la camĂ©ra omnidirectionnelle tandis que l'usage de la camĂ©ra mĂ©canisĂ©e permet une fovĂ©ation, c'est-Ă -dire l'acquisition de dĂ©tails, sur une rĂ©gion d'intĂ©rĂȘt dĂ©tectĂ©e depuis l'image panoramique.Les travaux prĂ©sentĂ©s dans ce manuscrit ont pour objet, Ă  la fois de permettre le suivi d'une cible Ă  l'aide de notre banc de camĂ©ras mais Ă©galement de permettre une reconstruction 3D par stĂ©rĂ©oscopie hybride de l'environnement nous permettant d'Ă©tudier le dĂ©placement du robot Ă©quipĂ© du capteur.The primary goal of this thesis is to elaborate a binocular vision system using two different types of camera. The system studied here is composed of one omnidirectional camera coupled with a PTZ camera. This heterogeneous association of cameras having different characteristics is called a hybrid stereo-vision system. The couple composed of these two cameras combines the advantages given by both of them, that is to say a large field of view and an accurate vision of a particular Region of interest with an adjustable level of details using the zoom. In this thesis, we are presenting multiple contributions in visual tracking using omnidirectional sensors, PTZ camera self calibration, hybrid vision system calibration and structure from motion using a hybrid stereo-vision system

    SystÚme de vision hybride à fovéation pour la vidéo-surveillance et la navigation robotique

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    The primary goal of this thesis is to elaborate a binocular vision system using two different types of camera. The system studied here is composed of one omnidirectional camera coupled with a PTZ camera. This heterogeneous association of cameras having different characteristics is called a hybrid stereo-vision system. The couple composed of these two cameras combines the advantages given by both of them, that is to say a large field of view and an accurate vision of a particular Region of interest with an adjustable level of details using the zoom. In this thesis, we are presenting multiple contributions in visual tracking using omnidirectional sensors, PTZ camera self calibration, hybrid vision system calibration and structure from motion using a hybrid stereo-vision system.L'objectif principal de ce travail de thĂšse est l'Ă©laboration d'un systĂšme de vision binoculaire mettant en oeuvre deux camĂ©ras de types diffĂ©rents. Le systĂšme Ă©tudiĂ© est constituĂ© d'une camĂ©ra de type omnidirectionnelle associĂ©e Ă  une camĂ©ra PTZ. Nous appellerons ce couple de camĂ©ras un systĂšme de vision hybride. L'utilisation de ce type de capteur fournit une vision globale de la scĂšne Ă  l'aide de la camĂ©ra omnidirectionnelle tandis que l'usage de la camĂ©ra mĂ©canisĂ©e permet une fovĂ©ation, c'est-Ă -dire l'acquisition de dĂ©tails, sur une rĂ©gion d'intĂ©rĂȘt dĂ©tectĂ©e depuis l'image panoramique.Les travaux prĂ©sentĂ©s dans ce manuscrit ont pour objet, Ă  la fois de permettre le suivi d'une cible Ă  l'aide de notre banc de camĂ©ras mais Ă©galement de permettre une reconstruction 3D par stĂ©rĂ©oscopie hybride de l'environnement nous permettant d'Ă©tudier le dĂ©placement du robot Ă©quipĂ© du capteur

    Dimensional perturbation of rigidity and mobility

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    International audienceMechanisms, defined as assemblies of dimensioned rigid bodies linked by ideal joints, can be partitioned in three mobility states: the rigid state (where bodies can have only one position relative to each other), the mobile state (where bodies can move relatively to each other) and the impossible state (where bodies dimensions and specified joints cannot lead to a feasible assembly). It is also clear that although bodies dimensions can vary in a continuous way, assemblies may experience quite abrupt changes across those states. This paper proposes a new approach to this problem with the goal of being able to predict the mobility class of an assembly of arbitrary complexity, and how it can be affected by a perturbation of the dimensions of its bodies. It does so by proposing a simple and general state transition framework including the three above defined states and seven transitions describing how a dimensional perturbation can affect them. Using this framework, the mobility of a mechanism is easier to capture and predict, using only dimensional (u) and positional (p) parameters involved in an appropriate equation (F(u,p)=0). This is achieved by focusing on how F() behaveswhen u and p get perturbed, and the impact of this reaction on the mobility state of the assembly. As a result of this more mathematic approach to the problem, previously used notions of iso-constraint, over-constraint and paradoxical assembly, traditionally used to describe such assemblies, can be rigorously defined and thus clarified

    Computing mobility condition using Groebner basis

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    International audienceA mechanism is a set of rigid links interconnected together with ideal joints and featuring at least one degree of freedom. An overconstrained mechanism is mobile provided the links' dimensions fulfill a certain relation named the “mobility condition”. The dimensions are not independent from each other and the goal is to obtain this mobility condition. Firstly, parameters are divided into two categories: dimensional parameters and positional parameters. Dimensional parameters represent links' sizes and positional parameters represent the relative positions between the links. The closure equation models the geometric problem by capturing the relationships between the two types of parameters. The principle of the paper is to generate the mobility condition by applying Groebner basis computation to the closure equation. Three methods are presented and investigated. The first one is called the univariate polynomial method (UNIPOL); the second method is called multi-order derivation method (MOD) and the third one is called the finitely separated configurations (FISECO) method. Practical implementation of these various techniques is explained by using a standard computer algebra system. The three methods are applied on a 2D overconstrained mechanism

    Une approche performante de suivi visuel pour les caméras catadioptriques

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    Session "Posters"National audienceDans cet article, nous proposons une mĂ©thode performante permettant d'appliquer des algorithmes de suivi visuel Ă  des images catadioptriques. Cette mĂ©thode est basĂ©e sur une reprĂ©sentation sphĂ©rique de l'image qui permet de prendre en compte les distorsions et la rĂ©solution non-uniforme des images catadioptriques. Les rĂ©sultats expĂ©rimentaux proposĂ©s dĂ©montrent que les mĂ©thodes probabilistes et dĂ©terministes peuvent ĂȘtre adaptĂ©es de maniĂšre Ă  suivre un objet avec prĂ©cision dans une sĂ©quence d'images catadioptrique
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