Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision [PDF]
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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Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications [PDF]
Sensors, 2022 Three-dimensional human pose estimation is widely applied in sports, robotics, and healthcare. In the past five years, the number of CNN-based studies for 3D human pose estimation has been numerous and has yielded impressive results.
Hung-Cuong Nguyen +3 more
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Center point to pose: Multiple views 3D human pose estimation for multi-person. [PDF]
PLoS ONE, 2022 3D human pose estimation has always been an important task in computer vision, especially in crowded scenes where multiple people interact with each other. There are many state-of-the-arts for object detection based on single view.
Huan Liu, Jian Wu, Rui He
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A Baseline for Cross-Database 3D Human Pose Estimation [PDF]
Sensors, 2021 Vision-based 3D human pose estimation approaches are typically evaluated on datasets that are limited in diversity regarding many factors, e.g., subjects, poses, cameras, and lighting.
Michał Rapczyński +3 more
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PosturePose: Optimized Posture Analysis for Semi-Supervised Monocular 3D Human Pose Estimation [PDF]
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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LHPE-nets: A lightweight 2D and 3D human pose estimation model with well-structural deep networks and multi-view pose sample simplification method [PDF]
PLoS ONE, 2022 The cross-view 3D human pose estimation model has made significant progress, it better completed the task of human joint positioning and skeleton modeling in 3D through multi-view fusion method.
Hao Wang +3 more
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A Systematic Review of Recent Deep Learning Approaches for 3D Human Pose Estimation [PDF]
Journal of Imaging, 2023 Three-dimensional human pose estimation has made significant advancements through the integration of deep learning techniques. This survey provides a comprehensive review of recent 3D human pose estimation methods, with a focus on monocular images ...
Amal El Kaid, Karim Baïna
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DUA: A Domain-Unified Approach for Cross-Dataset 3D Human Pose Estimation [PDF]
Sensors, 2023 Human pose estimation is an important Computer Vision problem, whose goal is to estimate the human body through joints. Currently, methods that employ deep learning techniques excel in the task of 2D human pose estimation.
João Renato Ribeiro Manesco +2 more
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Origin centric and part based pose decomposition for 3D human pose estimation [PDF]
Scientific ReportsTransformer-based approaches have recently made significant advancements in 3D human pose estimation from 2D inputs. Existing methods typically either consider the entire 2D skeleton for global features extraction or break it into independent parts for ...
Zhijie Lin +7 more
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G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization [PDF]
Sensors, 2022 Monocular 3D human pose estimation is used to calculate a 3D human pose from monocular images or videos. It still faces some challenges due to the lack of depth information.
Haixun Sun +4 more
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