912 resultados para 3D coordinates
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Des anomalies dans la morphologie pelvienne, la posture du tronc et le contrôle de l’équilibre de jeunes filles atteintes de scoliose idiopathique de l’adolescence (SIA) ont souvent été l’objet d’études. Rares sont celles ayant distingué ces troubles en fonction de la sévérité de la déformation vertébrale. De plus, aucune n’a évalué à l’intérieur d’une même étude l’orientation et la distorsion pelvienne, l’asymétrie posturale et l’instabilité en position debout de sujets SIA. Une telle étude permettrait de comprendre le développement de la maladie et de mettre en évidence des facteurs de risque aidant au pronostic. L’objectif général de cette thèse est d’identifier des facteurs biomécaniques associés à la croissance osseuse, la posture et l’équilibre distinguant une SIA modérée d’une sévère. Les positions 3D de 14 repères prises sur 46 filles ayant une SIA droite (modérée et sévère) et 28 sujets témoins ont été captées pour quantifier la morphologie pelvienne et la posture. Un maintien en position debout de 64 s sur une plate-forme de force a aussi été enregistré afin d’évaluer leur équilibre. Les paramètres retenus sont les angles d’orientation pelvienne et du tronc; les distances entre la crête iliaque et S1 mesurant la distorsion pelvienne; la moyenne, l’amplitude et la vitesse du centre de pression (COP) en médiolatéral (ML) et antéropostérieur ainsi que la moyenne et l’amplitude du moment libre. Les différences entre les trois groupes (témoin, SIA modérée et SIA sévère) sont testées par des ANOVA et les relations entre l’angle de Cobb et les paramètres pelviens, posturaux ou d’équilibre, par des coefficients de corrélations. De plus, des régressions multiples exprimant l’angle de Cobb sont effectuées avec les paramètres pelviens, posturaux et d’équilibre afin de déterminer la classe de paramètres prédisant le mieux l’angle de Cobb. Aucune ANOVA n’est significative pour l’orientation pelvienne, bien que des différences de géométrie pelvienne soient notées entre les deux groupes de sujets SIA. Les SIA modérées ont un pelvis gauche moins profond que les SIA sévères et les sujets témoins, tandis que les SIA sévères ont un pelvis droit plus large d’environ 1,5 cm que celui des SIA modérées. Un coefficient de corrélation de -0,54 associe une rotation pelvienne droite à l’augmentation de la largeur de la crête iliaque. Au niveau postural, les SIA sévères démontrent des inclinaisons latérales et antérieures du tronc ainsi qu’une rotation axiale du haut du corps plus marquées que les SIA modérées. Les corrélations entre les paramètres posturaux, l’angle de Cobb et la morphologie pelvienne indiquent que l’attitude posturale est associée à la distorsion pelvienne dans tous les plans anatomiques, tandis qu’elle ne l’est que dans les plans sagittal et horizontal à l’angle de Cobb. Les différences retrouvées entre les deux groupes SIA concernant les troubles d’équilibre résultent en une augmentation de l’amplitude et de la vitesse du COPML. Une régression multiple de 0,896 est observée par l’emploi des paramètres pelviens, posturaux et d’équilibre, bien que ceux se rapportant à la distorsion pelvienne soient les mieux corrélés à l’angle de Cobb. Cette thèse permet de distinguer la morphologie pelvienne de sujets SIA sévères des modérées, soulignant la détection d’une anomalie de croissance avant que l’angle de Cobb ne soit élevé. Bien que les indices de croissance pelvienne soient davantage corrélés à ce dernier, c’est en considérant globalement la morphologie pelvienne, la posture et l’équilibre qu’une détermination précise de la sévérité d’une scoliose est réalisée. La mise en évidence de tels facteurs de prédiction de la SIA peut faciliter le pronostic d’une courbure.
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This work proposes a kinematic control scheme, using visual feedback for a robot arm with five degrees of freedom. Using computational vision techniques, a method was developed to determine the cartesian 3d position and orientation of the robot arm (pose) using a robot image obtained through a camera. A colored triangular label is disposed on the robot manipulator tool and efficient heuristic rules are used to obtain the vertexes of that label in the image. The tool pose is obtained from those vertexes through numerical methods. A color calibration scheme based in the K-means algorithm was implemented to guarantee the robustness of the vision system in the presence of light variations. The extrinsic camera parameters are computed from the image of four coplanar points whose cartesian 3d coordinates, related to a fixed frame, are known. Two distinct poses of the tool, initial and final, obtained from image, are interpolated to generate a desired trajectory in cartesian space. The error signal in the proposed control scheme consists in the difference between the desired tool pose and the actual tool pose. Gains are applied at the error signal and the signal resulting is mapped in joint incrementals using the pseudoinverse of the manipulator jacobian matrix. These incrementals are applied to the manipulator joints moving the tool to the desired pose
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This paper presents a method to recover 3D geometry of Lambertian surfaces by using multiple images taken from the same view point and with the scene illuminated from different positions. This approach differs from Stereo Photometry in that it considers the light source at a finite distance from the object and the perspective projection in image formation. The proposed model allows local solution and recovery of 3D coordinates, in addition to surface orientation. A procedure to calibrate the light sources is also presented. Results of the application of the algorithm to synthetic images are shown.
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The aim of this work is to evaluate the influence of point measurements in images, with subpixel accuracy, and its contribution in the calibration of digital cameras. Also, the effect of subpixel measurements in 3D coordinates of check points in the object space will be evaluated. With this purpose, an algorithm that allows subpixel accuracy was implemented for semi-automatic determination of points of interest, based on Fõrstner operator. Experiments were accomplished with a block of images acquired with the multispectral camera DuncanTech MS3100-CIR. The influence of subpixel measurements in the adjustment by Least Square Method (LSM) was evaluated by the comparison of estimated standard deviation of parameters in both situations, with manual measurement (pixel accuracy) and with subpixel estimation. Additionally, the influence of subpixel measurements in the 3D reconstruction was also analyzed. Based on the obtained results, i.e., on the quantification of the standard deviation reduction in the Inner Orientation Parameters (IOP) and also in the relative error of the 3D reconstruction, it was shown that measurements with subpixel accuracy are relevant for some tasks in Photogrammetry, mainly for those in which the metric quality is of great relevance, as Camera Calibration.
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Pós-graduação em Ciências da Motricidade - IBRC
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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In this paper we present a model-based approach for real-time camera pose estimation in industrial scenarios. The line model which is used for tracking is generated by rendering a polygonal model and extracting contours out of the rendered scene. By un-projecting a point on the contour with the depth value stored in the z-buffer, the 3D coordinates of the contour can be calculated. For establishing 2D/3D correspondences the 3D control points on the contour are projected into the image and a perpendicular search for gradient maxima for every point on the contour is performed. Multiple hypotheses of 2D image points corresponding to a 3D control point make the pose estimation robust against ambiguous edges in the image.
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PURPOSE Laser range scanners (LRS) allow performing a surface scan without physical contact with the organ, yielding higher registration accuracy for image-guided surgery (IGS) systems. However, the use of LRS-based registration in laparoscopic liver surgery is still limited because current solutions are composed of expensive and bulky equipment which can hardly be integrated in a surgical scenario. METHODS In this work, we present a novel LRS-based IGS system for laparoscopic liver procedures. A triangulation process is formulated to compute the 3D coordinates of laser points by using the existing IGS system tracking devices. This allows the use of a compact and cost-effective LRS and therefore facilitates the integration into the laparoscopic setup. The 3D laser points are then reconstructed into a surface to register to the preoperative liver model using a multi-level registration process. RESULTS Experimental results show that the proposed system provides submillimeter scanning precision and accuracy comparable to those reported in the literature. Further quantitative analysis shows that the proposed system is able to achieve a patient-to-image registration accuracy, described as target registration error, of [Formula: see text]. CONCLUSIONS We believe that the presented approach will lead to a faster integration of LRS-based registration techniques in the surgical environment. Further studies will focus on optimizing scanning time and on the respiratory motion compensation.
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In the context of aerial imagery, one of the first steps toward a coherent processing of the information contained in multiple images is geo-registration, which consists in assigning geographic 3D coordinates to the pixels of the image. This enables accurate alignment and geo-positioning of multiple images, detection of moving objects and fusion of data acquired from multiple sensors. To solve this problem there are different approaches that require, in addition to a precise characterization of the camera sensor, high resolution referenced images or terrain elevation models, which are usually not publicly available or out of date. Building upon the idea of developing technology that does not need a reference terrain elevation model, we propose a geo-registration technique that applies variational methods to obtain a dense and coherent surface elevation model that is used to replace the reference model. The surface elevation model is built by interpolation of scattered 3D points, which are obtained in a two-step process following a classical stereo pipeline: first, coherent disparity maps between image pairs of a video sequence are estimated and then image point correspondences are back-projected. The proposed variational method enforces continuity of the disparity map not only along epipolar lines (as done by previous geo-registration techniques) but also across them, in the full 2D image domain. In the experiments, aerial images from synthetic video sequences have been used to validate the proposed technique.
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The DTRF2014 is a realization of the the fundamental Earth-fixed coordinate system, the International Terrestrial Reference System (ITRS). It has been computed by the Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM). The DTRF2014 consists of station positions and velocities of 1712 globally distributed geodetic observing stations of the observation techniques VLBI, SLR, GNSS and DORIS. Additionally, for the first time, non-tidal atmospheric and hydrological loading is considered in the solution. The DTRF2014 was released in August 2016 and incorporates observation data of the four techniques up 2014. The observation data were processed and submitted by the corresponding technique services: IGS (International GNSS Service, http://igscb.jpl.nasa.gov) IVS (International VLBI Service, http://ivscc.gsfc.nasa.gov) ILRS (International Laser Ranging Service, http://ilrs.gsfc.nasa.gov) IDS (International DORIS Service, http://ids-doris.org). The DTRF2014 is an independent ITRS realization. It is computed on the basis of the same input data as the realizations JTRF2014 (JPL, Pasadena) and ITRF2014 (IGN, Paris). The three realizations of the ITRS differ conceptually. While DTRF2014 and ITRF2014 are based on station positions at a reference epoch and velocities, the JTRF2014 is based on time series of station positions. DTRF2014 and ITRF2014 result from different combination strategies: The ITRF2014 is based on the combination of solutions, the DTRF2014 is computed by the combination of normal equations. The DTRF2014 comprises 3D coordinates and coordinate changes of 1347 GNSS-, 113 VLBI-, 99 SLR- and 153 DORIS-stations. The reference epoch is 1.1.2005, 0h UTC. The Earth Orientation Parameters (EOP) - that means the coordinates of the terrestrial and the celestial pole, UT1-UTC and the Length of Day (LOD) - were simultaneously estimated with the station coordinates. The EOP time series cover the period from 1979.7 to 2015.0. The station names are the official IERS identifiers: CDP numbers or 4-character IDs and DOMES numbers (http://itrf.ensg.ign.fr/doc_ITRF/iers_sta_list.txt). The DTRF2014 solution is available in one comprehensive SINEX file and four technique-specific SINEX files, see below. A detailed description of the solution is given on the website of DGFI-TUM (http://www.dgfi.tum.de/en/science-data-products/dtrf2014/). More information can be made available by request.
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This report describes a short-term study undertaken to investigate the potential for using dense three-dimensional (3D) point clouds generated from light detection and ranging (LIDAR) and photogrammetry to assess roadway roughness. Spatially continuous roughness maps have potential for the identification of localized roughness features, which would be a significant improvement over traditional profiling methods. This report specifically illustrates the use of terrestrial laser scanning (TLS) and photogrammetry using a process known as structure from motion (SFM) to acquire point clouds and illustrates the use of these point clouds in evaluating road roughness. Five roadway sections were chosen for scanning and testing: three gravel road sections, one portland cement concrete (PCC) section, and one asphalt concrete (AC) section. To compare clouds obtained from terrestrial laser scanning and photogrammetry, the coordinates of the clouds for the same section on the same date were matched using open source computer code. The research indicates that the technologies described are very promising for evaluating road roughness. The major advantage of both technologies is the large amount of data collected, which allows the evaluation of the full surface. Additional research is needed to further develop the use of dense 3D point clouds for roadway assessment.