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Exploring Rare Pose in Human Pose Estimation [PDF]
IEEE Access, 2020 We tackle the issue of data imbalance between different poses in the human pose estimation problem. We explore unusual poses that are rare which occupy a small portion in a pose dataset.
Jihye Hwang, John Yang, Nojun Kwak
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VIPE: Visible and Infrared Fused Pose Estimation Framework for Space Noncooperative Objects [PDF]
SensorsAccurate pose estimation of non-cooperative space objects is crucial for applications such as satellite maintenance, space debris removal, and on-orbit assembly.
Zhao Zhang +5 more
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A Survey of Robotic Monocular Pose Estimation [PDF]
SensorsRobotic monocular pose estimation is an important part of neural monocular pose estimation-driven methods, which includes monocular simultaneous localization and mapping (SLAM) and single-view object pose estimation (OPE) driven by neural methods.
Kun Zhang, Guozheng Song, Qinglin Ai
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Performance Evaluation of Monocular Markerless Pose Estimation Systems for Industrial Exoskeletons [PDF]
SensorsIndustrial exoskeletons (a.k.a. wearable robots) have been developed to reduce musculoskeletal fatigue and work injuries. Human joint kinematics and human–robot alignment are important measurements in understanding the effects of industrial exoskeletons.
Soocheol Yoon +5 more
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PosturePose: Optimized Posture Analysis for Semi-Supervised Monocular 3D Human Pose Estimation
Sensors, 2023 One motivation for studying semi-supervised techniques for human pose estimation is to compensate for the lack of variety in curated 3D human pose datasets by combining labeled 3D pose data with readily available unlabeled video data—effectively ...
Lawrence Amadi, Gady Agam
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Dynamical Pose Estimation with Graduated Non-Convexity for Outlier Robustness [PDF]
Modeling, Identification and Control, 2022 In this paper we develop a method for relative pose estimation for two sets of corresponding geometric primitives in 3D with a significant outlier fraction.
Torbjørn Smith, Olav Egeland
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Survey of Rigid Object Pose Estimation Algorithms Based on Deep Learning [PDF]
Jisuanji kexue, 2023 Rigid object pose estimation aims to obtain 3D translation and 3D rotation information of the rigid object in the camera coordinate system,which plays an important role in rapidly developing fields such as autonomous driving,robotics and augmented ...
GUO Nan, LI Jingyuan, REN Xi
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IEEE Access, 2020 Human pose estimation localizes body keypoints to accurately recognizing the postures of individuals given an image. This step is a crucial prerequisite to multiple tasks of computer vision which include human action recognition, human tracking, human ...
Tewodros Legesse Munea +5 more
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Monocular Human Depth Estimation Via Pose Estimation
IEEE Access, 2021 We propose a novel monocular depth estimator, which improves the prediction accuracy on human regions by utilizing pose information. The proposed algorithm consists of two networks — PoseNet and DepthNet — to estimate keypoint heatmaps and ...
Jinyoung Jun +3 more
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Research Progress of Deep Learning Methods in Two-dimensional Human Pose Estimation [PDF]
Jisuanji kexue, 2022 The task of human pose estimation is to locate and detect the key points of human body in images or videos.It has always been one of the hot research directions in the field of computer vision,and it is also a key step for computers to understand human ...
ZHANG Guo-ping, MA Nan, Guan Huai-guang, WU Zhi-xuan
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