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Dissertations / Theses on the topic 'Camera pose'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Isaksson, Jakob, and Lucas Magnusson. "Camera pose estimation with moving Aruco-board. : Retrieving camera pose in a stereo camera tolling system application." Thesis, Tekniska Högskolan, JTH, Datateknik och informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-51076.

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Stereo camera systems can be utilized for different applications such as position estimation,distance measuring, and 3d modelling. However, this requires the cameras to be calibrated.This paper proposes a traditional calibration solution with Aruco-markers mounted on avehicle to estimate the pose of a stereo camera system in a tolling environment. Our method isbased on Perspective N Point which presumes the intrinsic matrix to be already known. Thegoal is to find each camera’s pose by identifying the marker corners in pixel coordinates aswell as in world coordinates. Our tests show a worst-cas

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2

Tabia, Ahmed. "Pose estimation with event camera." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST093.

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La pose de la caméra est utilisée pour décrire la position et l'orientation d'une caméra dans un système de coordonnées absolu, en référence à six degrés de liberté. L'estimation de la pose de la caméra est essentielle dans divers domaines d'application, tels que la réalité augmentée, la navigationrobotique et les véhicules autonomes.Ces domaines exploitent la pose de la caméra pour des calculs ultérieurs, comme la localisation des objets et la perception de la scène.Estimer la pose d'une caméra présente des défis dans différents scénarios ; les conditions d'éclairage médiocres, y compris une

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Dahlqvist, Marcus. "Adaptive Losses for Camera Pose Supervision." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177339.

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This master thesis studies the learning of dense feature descriptors where camera poses are the only supervisory signal. The use of camera poses as a supervisory signal has only been published once before, and this thesis expands on this previous work by utilizing a couple of different techniques meant increase the robustness of the method, which is particularly important when not having access to ground-truth correspondences. Firstly, an adaptive robust loss is utilized to better differentiate inliers and outliers. Secondly, statistical properties during training are both enforced and adapted

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4

Gilbert, Sebastien. "Camera pose estimation from a stereo setup." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/27138.

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This thesis addresses the problem of estimation of the camera poses with respect to a rigid object, which is equivalent to the problem of tridimensional registration of a moving rigid object before fixed cameras. Matching, tracking and 3D reconstruction of feature points by a stereoscopic vision setup allows the computation of the homogeneous transformation matrix linking two consecutive scene captures. Robustness to errors is provided by the scene rigidity constraint. Accumulation of error is compensated through loop detection in the calculated camera poses. Experimental results show the vali

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5

Antone, Matthew E. "Robust camera pose recovery using stochastic geometry." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86576.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (p. 177-187).<br>by Matthew E. Antone.<br>Ph.D.

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6

Liu, Zhe. "Robust, refined and selective matching for accurate camera pose estimation." Thesis, Paris Est, 2015. http://www.theses.fr/2015PEST1020/document.

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Grâce aux progrès récents en photogrammétrie, il est désormais possible de reconstruire automatiquement un modèle d'une scène 3D à partir de photographies ou d'une vidéo. La reconstruction est réalisée en plusieurs étapes. Tout d'abord, on détecte des traits saillants (features) dans chaque image, souvent des points mais plus généralement des régions. Puis on cherche à les mettre en correspondance entre images. On utilise ensuite les traits communs à deux images pour déterminer la pose (positions et orientations) relative des images. Puis les poses sont mises dans un même repère global et la p

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7

Ringdahl, Viktor. "Stereo Camera Pose Estimation to Enable Loop Detection." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154392.

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Visual Simultaneous Localization And Mapping (SLAM) allows for three dimensionalreconstruction from a camera’s output and simultaneous positioning of the camera withinthe reconstruction. With use cases ranging from autonomous vehicles to augmentedreality, the SLAM field has garnered interest both commercially and academically. A SLAM system performs odometry as it estimates the camera’s movement throughthe scene. The incremental estimation of odometry is not error free and exhibits driftover time with map inconsistencies as a result. Detecting the return to a previously seenplace, a loop, mean

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Ferraz, Colomina Luis. "Viewpoint invariant features and robust monocular Camera pose estimation." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/368568.

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La pose de la càmera respecte a una escena del món real determina la projecció perspectiva de l'escena sobre el pla imatge. L'anàlisi de les deformacions entre parelles d'imatges degudes a la perspectiva i la pose de la càmera han portat a molts investigadors en Visió per Computador a tractar amb problemes com, la capacitat per detectar i buscar coincidències de les mateixes característiques locals a diferents imatges o recuperar per cada imatge la pose original de la càmera. La diferencia entre els dos problemes recau en la localitat de la informació que es mostra a la imatge, mentre en el ca

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9

Usabiaga, Jorge. "Global hand pose estimation by multiple camera ellipse tracking." abstract and full text PDF (free order & download UNR users only), 2004. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1433386.

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10

Ižo, Tomáš 1979. "Simultaneous camera calibration and pose estimation from multiple views." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87435.

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11

Kuznetsova, Alina [Verfasser]. "Hand pose recogniton using a consumer depth camera / Alina Kuznetsova." Hannover : Technische Informationsbibliothek (TIB), 2016. http://d-nb.info/1100290125/34.

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12

Khosravi, Sara. "Camera-based estimation of needle pose for ultrasound percutaneous procedures." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2505.

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A pose estimation method is proposed for measuring the position and orientation of a biopsy needle. The technique is to be used as a touchless needle guide system for guidance of percutaneous procedures with 4D ultrasound. A pair of uncalibrated, light-weight USB cameras are used as inputs. A database is prepared offline, using both the needle line estimated from camera-captured images and the true needle line recorded from an independent tracking device. A nonparametric learning algorithm determines the best fit model from the database. This model can then be used in real-time to estimate the

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Baird, Duncan L. (Duncan Lea). "Dynamically estimating mobile range camera pose from invariant feature measurements." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=26372.

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Complex robotic tasks such as autonomous exploration and grasping demand the co-operation of sensors and actuators. In order to integrate sensor measurements and actuator control schemes we must determine the rigid body transformations that relate the native co-ordinate frames of these devices. Equivalently, we need to estimate the relative pose of sensors and actuators in the systems.<br>We examine the problem of determining the pose of a robot-mounted range-finding camera, and present a class of solutions motivated by the idea that mobile camera calibration is best addressed by an ongoing dy

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14

Hughes, Lloyd Haydn. "Enhancing mobile camera pose estimation through the inclusion of sensors." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95917.

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Thesis (MSc)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Monocular structure from motion (SfM) is a widely researched problem, however many of the existing approaches prove to be too computationally expensive for use on mobile devices. In this thesis we investigate how inertial sensors can be used to increase the performance of SfM algorithms on mobile devices. Making use of the low cost inertial sensors found on most mobile devices we design and implement an extended Kalman filter (EKF) to exploit their complementary nature, in order to produce an accurate estimate of the attit

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15

Moemeni, Armaghan. "Hybrid marker-less camera pose tracking with integrated sensor fusion." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/11093.

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This thesis presents a framework for a hybrid model-free marker-less inertial-visual camera pose tracking with an integrated sensor fusion mechanism. The proposed solution addresses the fundamental problem of pose recovery in computer vision and robotics and provides an improved solution for wide-area pose tracking that can be used on mobile platforms and in real-time applications. In order to arrive at a suitable pose tracking algorithm, an in-depth investigation was conducted into current methods and sensors used for pose tracking. Preliminary experiments were then carried out on hybrid GPS-

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Bodesund, Fredrik. "Pose estimation of a VTOL UAV using IMU, Camera and GPS." Thesis, Linköpings universitet, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60641.

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When an autonomous vehicle has a mission to perform, it is of high importance that the robot has good knowledge about its position. Without good knowledge of the position, it will not be able to navigate properly and the data that it gathers, which could be of importance for the mission, might not be usable. A helicopter could for example be used to collect laser data from the terrain beneath it, which could be used to produce a 3D map of the terrain. If the knowledge about the position and orientation of the helicopter is poor then the collected laser data will be useless since it is unknown

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17

Nißler, Christian [Verfasser]. "Environment- and Self-Modeling through Camera-Based Pose Estimation / Christian Nißler." Düren : Shaker, 2019. http://d-nb.info/1202218660/34.

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18

Soh, Ling Min. "Recognition using tagged objects." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/844110/.

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This thesis describes a method for the recognition of objects in an unconstrained environment with a widely ranging illumination, imaged from unknown view points and complicated background. The general problem is simplified by placing specially designed patterns on the object that allows us to solve the pose determination problem easily. There are several key components involved in the proposed recognition approach. They include pattern detection, pose estimation, model acquisition and matching, searching and indexing the model database. Other crucial issues pertaining to the individual compon

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19

Meshkat, Alsadat Shabnam. "Analysis of camera pose estimation using 2D scene features for augmented reality applications." Master's thesis, Université Laval, 2018. http://hdl.handle.net/20.500.11794/30281.

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La réalité augmentée (RA) a récemment eu un impact énorme sur les ingénieurs civils et les travailleurs de l'industrie de la construction, ainsi que sur leur interaction avec les plans ar-chitecturaux. La RA introduit une superposition du modèle 3D d'un bâtiment sur une image 2D non seulement comme une image globale, mais aussi potentiellement comme une repré-sentation complexe de ce qui va être construit et qui peut être visualisée par l'utilisateur. Pour insérer un modèle 3D, la caméra doit être localisée par rapport à son environnement. La lo-calisation de la caméra consiste à trouver les p

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Ziraknejad, Nima. "Driver head pose sensing using a capacitive array and a time-of-flight camera." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50186.

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Improving the safety of vehicle occupants has gained increasing attention among automotive manufacturers and researchers over the past three decades. There is increased potential for injury mitigation techniques to be applied more effectively to vehicle safety systems if the pose (i.e. the position and orientation) of the driver’s head with respect to the Head Restraint (HR) device can be provided to such safety systems in real-time during vehicle operation. This information is valuable to a range of systems including: adaptive HR positioning for whiplash injury mitigation, advanced driver ass

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Ye, Mao. "MONOCULAR POSE ESTIMATION AND SHAPE RECONSTRUCTION OF QUASI-ARTICULATED OBJECTS WITH CONSUMER DEPTH CAMERA." UKnowledge, 2014. http://uknowledge.uky.edu/cs_etds/25.

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Quasi-articulated objects, such as human beings, are among the most commonly seen objects in our daily lives. Extensive research have been dedicated to 3D shape reconstruction and motion analysis for this type of objects for decades. A major motivation is their wide applications, such as in entertainment, surveillance and health care. Most of existing studies relied on one or more regular video cameras. In recent years, commodity depth sensors have become more and more widely available. The geometric measurements delivered by the depth sensors provide significantly valuable information for the

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Efstratiou, Panagiotis. "Skeleton Tracking for Sports Using LiDAR Depth Camera." Thesis, KTH, Medicinteknik och hälsosystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297536.

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Skeletal tracking can be accomplished deploying human pose estimation strategies. Deep learning is shown to be the paramount approach in the realm where in collaboration with a ”light detection and ranging” depth camera the development of a markerless motion analysis software system seems to be feasible. The project utilizes a trained convolutional neural network in order to track humans doing sport activities and to provide feedback after biomechanical analysis. Implementations of four filtering methods are presented regarding movement’s nature, such as kalman filter, fixedinterval smoother,

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23

Yang, Chengyu. "Research of dense 3D reconstruction based on binocular camera." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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La ricostruzione 3D è un'importante direzione di ricerca nel campo della tecnologia di visione artificiale. Basata su una fotocamera binoculare come unico dispositivo di acquisizione dati, questa tesi ha proposto un algoritmo di ricostruzione 3D denso per ottenere una ricostruzione di scene complesse di grandi dimensioni. I principali contenuti di ricerca di questa tesi includono: (1) il metodo di stima della posa SLAM visivo basato su ORB, che è stato applicato e migliorato; (2) La tecnologia patch di PMVS è stata studiata ed applicata per aiutare a densificare il modello 3D. L'algoritmo di

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Villeneuve, Hubert. "Height Estimation of a Blimp Unmanned Aerial Vehicle Using Inertial Measurement Unit and Infrared Camera." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36635.

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Increasing demands in areas such as security, surveillance, search and rescue, and communication, has promoted the research and development of unmanned aerial vehicles (UAVs) as such technologies can replace manned flights in dangerous or unfavorable conditions. Lighter-than-air UAVs such as blimps can carry higher payloads and can stay longer in the air compared to typical heavier-than-air UAVs such as aeroplanes or quadrotors. One purpose of this thesis is to develop a sensor suite basis for estimating the position and orientation of a blimp UAV in development with respect to a reference poi

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SARMADI, HAMID. "Human Detection and Pose Estimation in aMulti-camera System : Using a 3D version of Pictorial Structures." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142372.

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Multi-view 3D human pose estimation is still a challenging task in uncontrolled environments. Many related approaches are still dependent on silhouettes of the subject obtained by background subtraction. Background subtraction is difficult if the cameras are moving or the background is dynamic. Our solution is to do body part detections both on the foreground and the background, similar to some 2D pose estimation algorithms. We introduce a novel approach to combine 2D body part detections from multiple views to obtain a unified space of detection scores employing the constraints of the 3D spac

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ARMENISE, VALENTINA. "Estimation of the 3D Pose of objects in a scenecaptured with Kinect camera using CAD models." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142471.

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This report presents a method for estimating the 3D pose of an object in a picture captured by recent structured-light sensors, such as the PrimeSense sensor commercialized under the name Kinect. In particular the work is focused on the estimation of the pose of a target represented by a CAD model without passing through the transformation of the model to a point cloud dataset, as required by the traditional approach. We study an iterative method which uses the geometrical entities which a CAD model is composed of and which works on the distance point-face rather that on the distance point-poi

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Bourmaud, Guillaume. "Estimation de paramètres évoluant sur des groupes de Lie : application à la cartographie et à la localisation d'une caméra monoculaire." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0242/document.

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Dans ce travail de thèse, nous proposons plusieurs algorithmespermettant d'estimer des paramètres évoluant sur des groupes de Lie. Cesalgorithmes s’inscrivent de manière générale dans un cadre bayésien, ce qui nouspermet d'établir une notion d'incertitude sur les paramètres estimés. Pour ce faire,nous utilisons une généralisation de la distribution normale multivariée aux groupesde Lie, appelée distribution normale concentrée sur groupe de Lie.Dans une première partie, nous nous intéressons au problème du filtrage de Kalmanà temps discret et continu-discret où l’état et les d’observations appa

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Anwar, Qaiser. "Optical Navigation by recognition of reference labels using 3D calibration of camera." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-18453.

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In this thesis a machine vision based indoor navigation system is presented. This is achieved by using rotationally independent optimized color reference labels and a geometrical camera calibration model which determines a set of camera parameters. All reference labels carry one byte of information (0 to 255), which can be designed for different values. An algorithm in Matlab has been developed so that a machine vision system for N number of symbols can recognize the symbols at different orientations. A camera calibration model describes the mapping between the 3-D world coordinates and the 2-

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Sun, Kaipeng [Verfasser], Klaus [Gutachter] Schilling, and Hubert [Gutachter] Roth. "Six Degrees of Freedom Object Pose Estimation with Fusion Data from a Time-of-flight Camera and a Color Camera / Kaipeng Sun. Gutachter: Klaus Schilling ; Hubert Roth." Würzburg : Universität Würzburg, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-105089.

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Sun, Kaipeng Verfasser], Klaus [Gutachter] [Schilling, and Hubert [Gutachter] Roth. "Six Degrees of Freedom Object Pose Estimation with Fusion Data from a Time-of-flight Camera and a Color Camera / Kaipeng Sun. Gutachter: Klaus Schilling ; Hubert Roth." Würzburg : Universität Würzburg, 2014. http://d-nb.info/1111783292/34.

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Fathollahi, Ghezelghieh Mona. "Estimation of Human Poses Categories and Physical Object Properties from Motion Trajectories." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6835.

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Despite the impressive advancements in people detection and tracking, safety is still a key barrier to the deployment of autonomous vehicles in urban environments [1]. For example, in non-autonomous technology, there is an implicit communication between the people crossing the street and the driver to make sure they have communicated their intent to the driver. Therefore, it is crucial for the autonomous car to infer the future intent of the pedestrian quickly. We believe that human body orientation with respect to the camera can help the intelligent unit of the car to anticipate the future mo

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Scandaroli, Glauco Garcia. "Fusion de données visuo-inertielles pour l'estimation de pose et l'autocalibrage." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00861858.

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Les systèmes multi-capteurs exploitent les complémentarités des différentes sources sensorielles. Par exemple, le capteur visuo-inertiel permet d'estimer la pose à haute fréquence et avec une grande précision. Les méthodes de vision mesurent la pose à basse fréquence mais limitent la dérive causée par l'intégration des données inertielles. Les centrales inertielles mesurent des incréments du déplacement à haute fréquence, ce que permet d'initialiser la vision et de compenser la perte momentanée de celle-ci. Cette thèse analyse deux aspects du problème. Premièrement, nous étudions les méthodes

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Coe, David Hazen. "Improving the Three Dimensional, Structural Velocity Field Reconstruction Process with Computer Vision." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30742.

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This research presents improvements to the velocity field reconstruction process achieved through computer vision. The first improvement of the velocity reconstruction process is the automation of the scanning laser Doppler vibrometer (SLDV) pose procedure. This automated process results in superior estimates of the position and orientation of the SLDV. The second improvement is the refinement of the formulation for reconstruction of the velocity field. The refined formulation permits faster computation, evaluation, and interpretation of the reconstructed structural velocity field. Taken

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Baáš, Filip. "Stanovení pozice objektu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400661.

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Master’s thesis deals with object pose estimation using monocular camera. As an object is considered every rigid, shape fixed entity with strong edges, ideally textureless. Object position in this work is represented by transformation matrix, which describes object translation and rotation towards world coordinate system. First chapter is dedicated to explanation of theory of geometric transformations and intrinsic and extrinsic parameters of camera. This chapter also describes detection algorithm Chamfer Matching, which is used in this work. Second chapter describes all development tools used

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Carraro, Marco. "Real-time RGB-Depth preception of humans for robots and camera networks." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426800.

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This thesis deals with robot and camera network perception using RGB-Depth data. The goal is to provide efficient and robust algorithms for interacting with humans. For this reason, a special care has been devoted to design algorithms which can run in real-time on consumer computers and embedded cards. The main contribution of this thesis is the 3D body pose estimation of the human body. We propose two novel algorithms which take advantage of the data stream of a RGB-D camera network outperforming the state-of-the-art performance in both single-view and multi-view tests. While the first algo

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Colbert, Steven C. "Shape and Pose Recovery of Novel Objects Using Three Images from a Monocular Camera in an Eye-In-Hand Configuration." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3515.

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Knowing the shape and pose of objects of interest is critical information when planning robotic grasping and manipulation maneuvers. The ability to recover this information from objects for which the system has no prior knowledge is a valuable behavior for an autonomous or semiautonomous robot. This work develops and presents an algorithm for the shape and pose recovery of unknown objects using no a priori information. Using a monocular camera in an eye-in-hand configuration, three images of the object of interest are captured from three disparate viewing directions. Machine vision techniques

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Anliot, Manne. "Volume Estimation of Airbags: A Visual Hull Approach." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-421.

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<p>This thesis presents a complete and fully automatic method for estimating the volume of an airbag, through all stages of its inflation, with multiple synchronized high-speed cameras.</p><p>Using recorded contours of the inflating airbag, its visual hull is reconstructed with a novel method: The intersections of all back-projected contours are first identified with an accelerated epipolar algorithm. These intersections, together with additional points sampled from concave surface regions of the visual hull, are then Delaunay triangulated to a connected set of tetrahedra. Finally, the visual

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Alqahtani, Faleh Mohammed A. "Three-dimensional facial tracker using a stereo vision system." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/131825/1/Faleh%20Mohammed%20A_Alqahtani_Thesis.pdf.

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This thesis develops an algorithm enabling accurate tracking of human faces, precise estimation of head poses, efficient resolution of occlusions and improved depth perception under different lighting conditions. The system also utilises two stereo cameras that have the ability to track movements across six degrees of freedom, thereby accounting for pose variations. The system can address circumstances in which facial features are no longer discernible, as the results demonstrate increased accuracy in real-time estimation of head poses and facial landmark features. It can also precisely map fa

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Uudelepp, Oscar. "Positional calibration methods for linear pipetting robot." Thesis, Uppsala universitet, Institutionen för elektroteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414666.

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This thesis aims to investigate and develop two positional calibration methods that can be applied to a linear pipetting robot. The goal of the calibration is to detect displacements that have been made to objects that are located in the the robot’s reference system and try to estimate their new position. One of the methods utilizes the pressure system that is mounted on the robot’s arm. The pressure system was able to detect surfaces by blowing air through a pipette against desired surfaces. Positional information of targeted objects are acquired by using the surface detection feature against

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Steele, Kevin L. "Vision-Based Rendering: Using Computational Stereo to Actualize IBR View Synthesis." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1536.pdf.

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Algers, Björn. "Stereo Camera Calibration Accuracy in Real-time Car Angles Estimation for Vision Driver Assistance and Autonomous Driving." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149443.

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The automotive safety company Veoneer are producers of high end driver visual assistance systems, but the knowledge about the absolute accuracy of their dynamic calibration algorithms that estimate the vehicle’s orientation is limited. In this thesis, a novel measurement system is proposed to be used in gathering reference data of a vehicle’s orientation as it is in motion, more specifically the pitch and roll angle of the vehicle. Focus has been to estimate how the uncertainty of the measurement system is affected by errors introduced during its construction, and to evaluate its potential in

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Nogueira, Marcelo Borges. "Posicionamento e movimenta??o de um rob? human?ide utilizando imagens de uma c?mera m?vel externa." Universidade Federal do Rio Grande do Norte, 2005. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15350.

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Made available in DSpace on 2014-12-17T14:55:48Z (GMT). No. of bitstreams: 1 MarceloBN.pdf: 1368278 bytes, checksum: e9f6ea9d9353cb33144a3fc036bd57dc (MD5) Previous issue date: 2005-12-20<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>This work proposes a method to localize a simple humanoid robot, without embedded sensors, using images taken from an extern camera and image processing techniques. Once the robot is localized relative to the camera, supposing we know the position of the camera relative to the world, we can compute the position of the robot relative to the wo

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Choi, Changhyun. "Visual object perception in unstructured environments." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53003.

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As robotic systems move from well-controlled settings to increasingly unstructured environments, they are required to operate in highly dynamic and cluttered scenarios. Finding an object, estimating its pose, and tracking its pose over time within such scenarios are challenging problems. Although various approaches have been developed to tackle these problems, the scope of objects addressed and the robustness of solutions remain limited. In this thesis, we target a robust object perception using visual sensory information, which spans from the traditional monocular camera to the more recently

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Hadj, Said Souheil. "Illumination Estimation from Specular Highlights in Mixed Reality with Application in Diminished Reality." Thesis, Université Clermont Auvergne‎ (2017-2020), 2020. http://www.theses.fr/2020CLFAC005.

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La réalité diminuée (RD) est une technique de montage vidéo qui modifie la réalité en supprimant certains objets. Il peut être utilisé comme étape préliminaire en réalité augmentée pour remplacer des objets réels par des objets virtuels de différentes tailles et formes. Il peut également être utilisé, par exemple, dans le cas de la réaménagement virtuel d'un appartement meublé. L'approche générale de RD consiste en trois étapes principales. Tout d'abord, une technique d'inpainting est appliquée à une région cible dans l'image pour retirer de manière cohérente un objet. Ceci correspond à une im

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Mudrík, Samuel. "Vizuální systém identifikace letiště." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236418.

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Lee, Young-ran. "Pose estimation of line cameras using linear features /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486457871786059.

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Lao, Yizhen. "3D Vision Geometry for Rolling Shutter Cameras." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC009/document.

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De nombreuses caméras CMOS modernes sont équipées de capteurs Rolling Shutter (RS). Ces caméras à bas coût et basse consommation permettent d’atteindre de très hautes fréquences d’acquisition. Dans ce mode d’acquisition, les lignes de pixels sont exposées séquentiellement du haut vers le bas de l'image. Par conséquent, les images capturées alors que la caméra et/ou la scène est en mouvement présentent des distorsions qui rendent les algorithmes classiques au mieux moins précis, au pire inutilisables en raison de singularités ou de configurations dégénérées. Le but de cette thèse est de revisit

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Asad, M. "Efficient hand orientation and pose estimation for uncalibrated cameras." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/17943/.

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We proposed a staged probabilistic regression method that is capable of learning well from a number of variations within a dataset. The proposed method is based on multi layered Random Forest, where the first layer consisted of a single marginalization weights regressor and second layer contained an ensemble of expert learners. The expert learners are trained in stages, where each stage involved training and adding an expert learner to the intermediate model. After every stage, the intermediate model was evaluated to reveal a latent variable space defining a subset that the model had difficult

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Přibyl, Bronislav. "Odhad pózy kamery z přímek pomocí přímé lineární transformace." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-412595.

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Tato disertační práce se zabývá odhadem pózy kamery z korespondencí 3D a 2D přímek, tedy tzv. perspektivním problémem n přímek (angl. Perspective- n -Line, PnL). Pozornost je soustředěna na případy s velkým počtem čar, které mohou být efektivně řešeny metodami využívajícími lineární formulaci PnL. Dosud byly známy pouze metody pracující s korespondencemi 3D bodů a 2D přímek. Na základě tohoto pozorování byly navrženy dvě nové metody založené na algoritmu přímé lineární transformace (angl. Direct Linear Transformation, DLT): Metoda DLT-Plücker-Lines pracující s korespondencemi 3D a 2D přímek a

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Shin, Sung Woong. "Rigorous Model of Panoramic Cameras." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1048869881.

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