Results 31 to 40 of about 129,382 (270)
3D driver pose estimation based on joint 2D–3D network
IET Computer Vision, 2020 Three‐dimensional (3D) driver pose estimation is a promising and challenging problem for computer–human interaction. Recently convolutional neural networks have been introduced into 3D pose estimation, but these methods have the problem of slow running ...
Zhijie Yao +5 more
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3D human pose estimation with siamese equivariant embedding [PDF]
Neurocomputing, 2019 Accepted to ...
Márton Véges +2 more
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Distributed Human 3D Pose Estimation and Action Recognition [PDF]
2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019 In this paper, we propose a distributed solution for3D human pose estimation using a RGBD camera network. Thekey feature of our method is a dynamic hybrid consensus filter(DHCF) is introduced to fuse the multiple view informationof cameras. In contrast to the centralized fusion solution,the DHCF algorithm can be used in a distributed network,which ...
Liu, Guoliang +3 more
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Posegu: 3d Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning
SSRN Electronic Journal, 2022 3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D pose datasets, and they suffer poor model generalization on unseen poses due to limited diversity of 3D poses in training sets.
Guan, Shannan +3 more
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3D Human Pose Estimation With 2D Marginal Heatmaps [PDF]
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Accepted in WACV ...
Nibali, Aiden +3 more
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A survey on monocular 3D human pose estimation
Virtual Reality & Intelligent Hardware, 2020 Recovering human pose from RGB images and videos has drawn increasing attention in recent years owing to minimum sensor requirements and applicability in diverse fields such as human-computer interaction, robotics, video analytics, and augmented reality.
Xiaopeng Ji +5 more
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IEEE Access, 2023 In general, 3D human-pose estimation requires high-performance computing resources. Existing methods working on mobile devices trade off accuracy in return for increased efficiency, often making the estimation accuracy far from sufficient for developing ...
Hong Son Nguyen +4 more
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3D Human Pose Estimation With Generative Adversarial Networks
IEEE Access, 2020 3D human pose estimation from a monocular RGB image is a challenging task in computer vision because of depth ambiguity in a single RGB image. As most methods consider joint locations independently which can lead to an overfitting problem on specific ...
Hailun Xia, Meng Xiao
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IEEE Access, 2022 The shape and pose estimation of a human body are essential for human behavior analysis, sports and medical analysis, and virtual reality. Although 2D image data are much easier to acquire than 3D scan data, the estimation accuracy using 2D images is ...
Dongjun Gu +3 more
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3D Human Pose Estimation: A Survey
Frontiers in Computing and Intelligent Systems, 2023 This comprehensive review article explores the latest research advancements in the realm of estimating 3D human pose. Traditional methods such as PSM, SVM are discussed. Besides, this review also talks about deep learning-based approaches, including direct approaches, 2D-to-3D lifting and volumetric model approach for single person, top-down approaches
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