Results 31 to 40 of about 4,989 (196)
Learning-Based Pose Estimation of Non-Cooperative Spacecrafts with Uncertainty Prediction
Aerospace, 2022 Estimation of spacecraft pose is essential for many space missions, such as formation flying, rendezvous, docking, repair, and space debris removal. We propose a learning-based method with uncertainty prediction to estimate the pose of a spacecraft from ...
Kecen Li, Haopeng Zhang, Chenyu Hu
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IEEE Access, 2021 Estimating the 6-DoF (Degree of Freedom) object pose from a single RGB image is one of the challenging tasks in the field of computer vision. Before the pose which is defined as the translation and rotation parameters can be derived by the traditional ...
Lee Aing, Wen-Nung Lie
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FAst Detection Algorithm for 3D Keypoints (FADA-3K)
IEEE Access, 2020 3D keypoint is widely used for object recognition and pose estimation with a 3D point cloud since it has robustness against measurement noise and occlusion.
Shogo Arai +2 more
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Appearance-based keypoint clustering [PDF]
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009 We present an algorithm for clustering sets of detected interest points into groups that correspond to visually distinct structure. Through the use of a suitable colour and texture representation, our clustering method is able to identify keypoints that belong to separate objects or background regions.
Estrada, Francisco J. +3 more
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A 3D Keypoints Voting Network for 6DoF Pose Estimation in Indoor Scene
Machines, 2021 This paper addresses the problem of instance-level 6DoF pose estimation from a single RGBD image in an indoor scene. Many recent works have shown that a two-stage network, which first detects the keypoints and then regresses the keypoints for 6d pose ...
Huikai Liu +6 more
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Neural Interactive Keypoint Detection
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Accepted to ICCV ...
Jie Yang +5 more
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DSPose: Dual-Space-Driven Keypoint Topology Modeling for Human Pose Estimation
Sensors, 2023 Human pose estimation is the basis of many downstream tasks, such as motor intervention, behavior understanding, and human–computer interaction. The existing human pose estimation methods rely too much on the similarity of keypoints at the image feature ...
Anran Zhao +4 more
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Complex Human Pose Estimation via Keypoints Association Constraint Network
IEEE Access, 2020 Human pose estimation has attracted enormous interest in the field of human action recognition. When the human pose is complex (such as pose distortion, pose reversal, etc.) or there is background interference (multi-target, shadow, etc.), the keypoints ...
Xuan Zhu +6 more
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Comparison of 3D interest point detectors and descriptors for point cloud fusion [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The extraction and description of keypoints as salient image parts has a long tradition within processing and analysis of 2D images. Nowadays, 3D data gains more and more importance.
R. Hänsch, T. Weber, O. Hellwich
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AlgorithmsCervical cancer ranks among the leading causes of mortality in women worldwide, underscoring the critical need for early detection to ensure patient survival.
Jesus Eduardo Alcaraz-Chavez +3 more
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