Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 31 for “"Epipolar"”.
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Projective minimal analysis of camera geometry
… view triplets in terms of the dependent epipolar geometries among view pairs. By explicitly modeling the trifocal constraints among projective bifocal parameters-the epipoles and epipolar collineations-this model guarantees a solution that lies in the valid space of projective camera …
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Effects of different camera motions on the error in estimates of epipolar geometry between two dimensional images in order to provide a framework for solutions to vision based Simultaneous Localization and Mapping (SLAM)
… feature tracking have on the estimations of an epipolar geometry at different stages of a 3D reconstruction and relates the findings to a framework for vision based Simultaneous Localization and Mapping (SLAM). Although there have been previous attempts to determine the quality of algorithms …
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Control visual basado en características de un sistema articulado. Estimación del jacobiano de la imagen utilizando múltiples vistas
… del jacobiano la información de la geometría epipolar, en la figura de la matriz fundamental. Los resultados de las pruebas llevadas a cabo tanto en tareas de posicionamiento como de seguimiento, y la comparación realizada con los métodos existentes en la bibliografía, demuestran que la …
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Implementation of 3DPTV for turbulence analysis and subgrid-scale stress model testing of a backward-facing step flow
… Tracking Velocimetry (3DPTV) utilizing the epipolar line triangulation method is an accepted method of quantifying volumes of 3-Dimension 3-Component (3D3C) velocity vector fields. This study adapted the epipolar line search triangulation methodology, as it was applied in micro-scale …
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The use of multiple cameras and geometric constraints for 3-D measurement
… This method is based on a 3-D intersection and "epipolar plane", as opposed to the 2-D intersection of the epipolar line method. The method is shown to provide a robust and flexible procedure,especially where camera orientation parameters are not well known. The theory of the method is derived …
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Development and evaluation of a multiscale keypoint detector based on complex wavelets
… angular separation when compared to conventional epipolar line search. Various keypoint detectors and descriptors were compared with DTCWT based methods using this framework. To the extent possible, we separated the evaluation of the keypoint detectors from that of the descriptors. The main …
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Metodos robustos de reconstruccion de escenas tridimensionales emplenado informacion binocular.
… el tema de la aplicación de la restricción epipolar y repasar un amplio conjunto de técnicas de correspondencia, se afronta este problema desde un punto de vista estadístico riguroso apoyado en los conceptos de campos de Markov y cadenas de Markov. Todo esto conduce a la distinción y …
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Dynamical systems approach to binocular stereopsis
… dynamical systems associated with corresponding epipolar lines in the two images.
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3D reconstruction and camera calibration from 2D images
… group. The first step is the estimation of the epipolar geometry that exists between the stereo image pair, a process involving feature matching in both images. The second step estimates the affine geometry, a process of finding a special plane in projective space by means of vanishing points. …
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Design and Implementation of a Passive Stereo-Infrared Imaging System for the Surface Reconstruction of Water Waves
… are explained, including camera calibration, epipolar geometry and disparity estimation. A description of the stereo infrared camera system used in this work is given. An experimental validation of the system was performed at the Heidelberg wind-wave channel. Several stereo infrared image …
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Surface reconstruction of a blast plate using stereo vision
… geometry. Stereoscopic reconstruction relies on epipolar geometry to constrain the relationship between the views. The 3-D point is then estimated using triangulation of the corresponding points from the two views. The blast plates that are reconstructed have highly reflective surfaces. This …
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Deep learning-based approaches for depth and 6-DoF pose estimation
… LiDAR) by exploiting geometric constraints (e.g. epipolar constraint, rigid motion of objects). Deep learning framework has achieved impressive progress in many computer vision tasks such as image recognition and segmentation. However, applying deep learning-based approaches to geometric vision …
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Stochastic constraints for vision-aided inertial navigation
… Instead, image data contributes stochastic epipolar constraints over a broad baseline in time and space, resulting in improved observability of the IMU error states. The constraints lead to a relative residual and associated relative covariance, defined partly by the state history. …
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The Potential of a Low Resolution Digital Camera in Close-Range Photogrammetry
… for control point measurement, conjugate epipolar lines computation and digital image correlation were developed. An experimental study was conducted with two GE TN2500, 244 x 248 pixels, CID digital/analog cameras for the mapping of a small object. The result showed that two-dimensional …
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Using multiple view geometry for transmission tower reconstruction
… matching 2D lines is based on an exploitation of epipolar geometry, where such 2D lines are detected via the Line Segment Detection (LSD) algorithm. The transmission tower reconstructions contrast their point cloud counterparts, in that no specialised tools or software is required. Instead, this …
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An Evaluation of an Omni- Directional (Fisheye) Vision Sensor for Estimating the Pose of an Object,
… images, the 3-camra imaging system exploits Epipolar geometry and the Longuet-Higgins algorithm. In this technique in addition to individual camera calibration, position and orientation of each camera with respect to other cameras in the system are necessary. The experiments in this thesis …
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Geometry and Uncertainty in Deep Learning for Computer Vision
… problem. We explicitly model concepts such as epipolar geometry to learn with unsupervised learning, which improves performance. Secondly, we introduce ideas from probabilistic modelling and Bayesian deep learning to understand uncertainty in computer vision models. We show how to quantify …
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General linear cameras : theory and applications
… pushbroom and two-slit) cameras, as well as epipolar plane images. It also includes three new and previously unexplored multiperspective linear cameras. The GLC model is general and linear in the sense that, given any vector space where rays are represented as points, it describes all 2D …
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Reconstruction of 3D scenes from pairs of uncalibrated images. Creation of an interactive system for extracting 3D data points and investigation of automatic techniques for generating dense 3D data maps from pairs of uncalibrated images for remote sensing applications.
… of stereo vision, the camera models, and the epipolar geometry described by the fundamental matrix are introduced, followed by a detailed literature review of existing methods. An interactive system for viewing a scene via a monochrome or colour anaglyph is presented which allows the user to …
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Reconstruction of 3D scenes from pairs of uncalibrated images. Creation of an interactive system for extracting 3D data points and investigation of automatic techniques for generating dense 3D data maps from pairs of uncalibrated images for remote sensing applications
… of stereo vision, the camera models, and the epipolar geometry described by the fundamental matrix are introduced, followed by a detailed literature review of existing methods. An interactive system for viewing a scene via a monochrome or colour anaglyph is presented which allows the user to …
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