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Published in 2017 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-017-0741-5
Abstract: We present a new analytical method for solving the problem of relative camera pose estimation. This method first calculates the homography matrix between two calibrated views using unknown coplanar points, and then, it decomposes the…
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Keywords:
analytical method;
camera pose;
method;
relative camera ... See more keywords
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1
Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09045-8
Abstract: In this paper, a new global camera pose estimation algorithm WTLS-IRLS is proposed, which can effectively solve the global rotation when there are outliers. Firstly, according to the relationship between the rotation vector and the…
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Keywords:
pose estimation;
camera pose;
rotation;
based global ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.083
Abstract: Abstract Inferring the camera pose with high accuracy is deemed crucial in many applications such as robot manipulation and virtual reality. Traditionally, features extracted from camera images are processed by Kalman-based schemes due to their…
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Keywords:
sample based;
kalman filtering;
camera pose;
camera ... See more keywords
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Published in 2017 at "Robotica"
DOI: 10.1017/s0263574716000874
Abstract: SUMMARY Mirage is a camera pose estimation method that analytically solves pose parameters in linear time for multi-camera systems. It utilizes a reference camera pose to calculate the pose by minimizing the 2D projection error…
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Keywords:
pose estimation;
camera pose;
camera;
mirage ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3026108
Abstract: This article proposes a novel approach aimed at estimating the pose of a camera, affixed to a robotic manipulator, against a target object. Our approach provides a way to exploit the redundancy of the robotic…
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Keywords:
camera pose;
pose estimation;
approach;
robotic arm ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3239657
Abstract: Digital 3D models of environments are of great value in many applications, but the algorithms that build them autonomously are computationally expensive and require a considerable amount of time to perform this task. In this…
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Keywords:
time;
camera pose;
algorithm;
exploration ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3476238
Abstract: To address the challenge of relative camera pose estimation, many permutation-invariant neural networks have been developed to process sparse correspondences with constant latency. These networks typically utilize an n-to-n framework, where n putative correspondences from…
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Keywords:
one one;
camera pose;
framework;
one framework ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3531896
Abstract: The multi-scene camera pose estimation approach aims to recover the camera pose from any given scene, catering to the demands of real-life mobile devices to perform tasks. Facing the challenge that it is difficult to…
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Keywords:
scene;
camera pose;
multi scene;
camera ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3565597
Abstract: This article proposes a novel method for determining aerial camera pose and resolving scale ambiguities in aerial imagery when Global Navigation Satellite System (GNSS) data are not sufficiently accurate. By relying on a monocular perspective-n-point…
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Keywords:
navigation;
method;
camera pose;
aerial camera ... See more keywords
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1
Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2967688
Abstract: This letter presents a hybrid real-time camera pose estimation framework with a novel partitioning scheme and introduces motion averaging to monocular Simultaneous Localization and Mapping (SLAM) systems. Breaking through the limitations of fixed-size temporal partitioning…
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Keywords:
hybrid camera;
camera pose;
pose estimation;
estimation online ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3168329
Abstract: Some recent visual-based relocalization algorithms rely on deep learning methods to perform camera pose regression from image data. This letter focuses on the loss functions that embed the error between two poses to perform deep…
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Keywords:
pose regression;
function;
loss;
camera pose ... See more keywords