Results 41 to 50 of about 50,857 (288)
Accurate visual localization with semantic masking and attention
EURASIP Journal on Advances in Signal Processing, 2022 Visual localization is the task of accurate camera pose estimation within a scene and is a crucial technique for computer vision and robotics. Among the various approaches, relative pose estimation has gained increasing interest because it can generalize
Tunan Li, Zhaohuan Zhan, Guang Tan
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Relative Pose Estimation of Non-Cooperative Space Targets Using a TOF Camera
Remote Sensing, 2022 It is difficult to determine the accurate pose of non-cooperative space targets in on-orbit servicing (OOS). The visual camera is easily affected by the extreme light environment in space, and the scanning lidar will have motion distortion when the ...
Dianqi Sun +3 more
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3D Relative Pose Estimation from Six Distances [PDF]
Robotics: Science and Systems V, 2009 In this paper, we present three fast, hybrid numericalgebraic methods to solve polynomial systems in floating point representation, based on the eigendecomposition of a so-called multiplication matrix. In particular, these methods run using standard double precision, use only linear algebra packages, and are easy to implement. We provide the proof that
Nikolas Trawny +2 more
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Relative Pose Estimation Based on Pairwise Range With Application to Aerobridge
IEEE Access, 2020 Relative pose estimation refers to estimate the relative attitude and translation between multiple platforms. For mobile platforms, tracking the relative pose with pairwise range is challenging for highly nonlinear associations between measurement and ...
Ruican Xia, Hailong Pei
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Camera calibration and relative pose estimation from gravity [PDF]
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002 We examine the potential use of gravity for camera calibration and pose estimation purposes. Concretely, objects being launched or dropped follow trajectories dictated by the law of gravity. We examine if video sequences of such trajectories give us exploitable constraints for estimating the imaging geometry. It is shown that it is possible to estimate
Sturm, Peter, Quan, Long
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Robot-to-robot relative pose estimation using humans as markers [PDF]
Autonomous Robots, 2021 In this paper, we propose a method to determine the 3D relative pose of pairs of communicating robots by using human pose-based key-points as correspondences. We adopt a 'leader-follower' framework, where at first, the leader robot visually detects and triangulates the key-points using the state-of-the-art pose detector named OpenPose.
Md Jahidul Islam +2 more
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Efficient generic calibration method for general cameras with single centre of projection [PDF]
, 2007 Generic camera calibration is a non-parametric calibration technique that is applicable to any type of vision sensor. However, the standard generic calibration method was developed with the goal of generality and it is therefore sub-optimal for the ...
John Mallon +5 more
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International Journal of Advanced Robotic Systems, 2022 Image moments are global descriptors of an image and can be used to achieve control-decoupling properties in visual servoing. However, only a few methods completely decouple the control.
Yuhan Chen +4 more
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Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features
Sensors, 2023 Accurate and robust camera pose estimation is essential for high-level applications such as augmented reality and autonomous driving. Despite the development of global feature-based camera pose regression methods and local feature-based matching guided ...
Meng Xu +3 more
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Wide-Baseline Relative Camera Pose Estimation with Directional Learning [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Modern deep learning techniques that regress the relative camera pose between two images have difficulty dealing with challenging scenarios, such as large camera motions resulting in occlusions and significant changes in perspective that leave little overlap between images.
Kefan Chen, Noah Snavely, Ameesh Makadia
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