Results 11 to 20 of about 552,088 (293)
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. In order to identify a rare pose without additional learning, a simple $K$ -means clustering algorithm is applied to a given dataset. Experimental results on MPII and
Jihye Hwang, John Yang, Nojun Kwak
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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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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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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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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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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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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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Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision
Sensors, 2023 The accurate estimation of a 3D human pose is of great importance in many fields, such as human–computer interaction, motion recognition and automatic driving.
Wenxia Bao +4 more
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Research Progress of Two-Dimensional Human Pose Estimation Based on Deep Learning [PDF]
Jisuanji gongcheng, 2021 The two-dimensional Human Pose Estimation(HPE) methods based on deep learning have attracted much attention for their application potential.The methods work by constructing a specific neural network architecture,and processing the extracted feature ...
LIU Yong, LI Jie, ZHANG Jianlin, XU Zhiyong, WEI Yuxing
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Unstable Landing Platform Pose Estimation Based on Camera and Range Sensor Homogeneous Fusion (CRHF)
Drones, 2022 Much research has been accomplished in the area of drone landing and specifically pose estimation. While some of these works focus on sensor fusion using GPS, or GNSS, we propose a method that uses sensors, including four Time of Flight (ToF) range ...
Mohammad Sefidgar, Rene Landry
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