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Multiple nonoverlapping camera pose estimation
2010 IEEE International Conference on Image Processing, 2010In this paper, we solve the pose estimation problem in real time using multiple nonoverlapping cameras and the Extended Kalman Filter (EKF). Four cameras arranged in two back-to-back pairs are put on the platform of a moving robot. The two axes passing through the camera centers of each pair are perpendicular.
M. E. Ragab, K. H. Wong
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Pose Estimation for Multi-camera Systems
2004We propose an approach for pose estimation based on a multi-camera system with known internal camera parameters. We only assume for the multi-camera system that the cameras of the system have fixed orientations and translations between each other. In contrast to existing approaches for reconstruction from multi-camera systems we introduce a rigid ...
Jan-Michael Frahm +2 more
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On Camera Pose Estimation for 3D Scene Reconstruction
Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD), 2021Three-Dimensional (3D) scene reconstruction using depth cameras is ubiquitous in Augmented Reality, Robotics, and Medical Imaging. Although many gradient-based highly computational reconstruction methods have been proposed in the literature, there is hardly any attempt at using meta-heuristic optimization techniques like the Genetic Algorithm (GA) for ...
Athul Thaliyachira Reji +2 more
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Study on Camera Pose Estimation
Applied Mechanics and Materials, 2014A common need in photogrammetry, robotics and computer vision is performing camera pose estimation. A comparative analysis is presented here for three classical and representative algorithms, including direct linear transform (DLT), EPNP and Cayley method, each of which computes the translation and rotation matrix using non-iterative method with six or
Xiao Zhou Zhu, Xiao Qian Chen, Xin Song
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Camera calibration and pose estimation from planes
IEEE Instrumentation & Measurement Magazine, 2015Camera calibration plays a key role in every computer vision application dealing with the problems of recovering a camera's geometry with respect to a 3D world reference, making 3D measurement in a captured scene or extracting 3D data from observed objects. These problems emerge in various applications such as structure from motion, robotics, augmented
Hamid Bazargani, Robert Laganière
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Pose Estimation for General Cameras Using Lines
IEEE Transactions on Cybernetics, 2015In this paper, we address the problem of pose estimation under the framework of generalized camera models. We propose a solution based on the knowledge of the coordinates of 3-D straight lines (expressed in the world coordinate frame) and their corresponding image pixels.
Pedro Miraldo +2 more
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Pose estimation for camera calibration and landmark tracking
Proceedings., IEEE International Conference on Robotics and Automation, 2002An algorithm is proposed for pose estimation based on the volume measurement of tetrahedra composed of feature-point triplets extracted from an arbitrary quadrangular target and the lens center of the vision system. Using a pinhole model (lens distortion is taken into account separately) and a quadrangular target, for which only the six distance ...
Mongi A. Abidi, T. Chandra
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Camera Pose Estimation with Unknown Principal Point
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018To estimate the 6-DoF extrinsic pose of a pinhole camera with partially unknown intrinsic parameters is a critical sub-problem in structure-from-motion and camera localization. In most of existing camera pose estimation solvers, the principal point is assumed to be in the image center.
Viktor Larsson +2 more
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Camera Pose Estimation by an Artificial Neural Network
2006Reconstruction of a three-dimensional scene using images taken from two views is possible if the relative pose of the cameras is known. A traditional approach to estimating the pose of the cameras uses eight pairs of corresponding points and involves the solution of a set of homogeneous equations. We propose a multi-layered feedforward network solution.
Ryan Gene Benton, Chee-Hung Henry Chu
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Estimating camera pose with the binocular camera pose relationship under mirror camera constraints
Measurement Science and TechnologyAbstract For spatially constrained scenarios where the target is not within the camera’s field of view, mirror-based imaging techniques are widely used for camera pose estimation. However, in industrial environments, mechanical vibrations introduce dynamic perturbations, causing small real-time displacements of the camera, mirror, and
Xiaohui A +4 more
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