Results 11 to 20 of about 18,146 (218)
Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision. [PDF]
Sensors (Basel), 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. In view of the difficulty of obtaining 3D ground truth labels for a dataset of 3D pose estimation techniques, we take 2D images as the research object in this paper, and propose a self ...
Bao W, Ma Z, Liang D, Yang X, Niu T.
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Adapted human pose: monocular 3D human pose estimation with zero real 3D pose data [PDF]
Applied Intelligence, 2022 The ultimate goal for an inference model is to be robust and functional in real life applications. However, training vs. test data domain gaps often negatively affect model performance. This issue is especially critical for the monocular 3D human pose estimation problem, in which 3D human data is often collected in a controlled lab setting.
Shuangjun Liu +2 more
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3D Human Pose Estimation = 2D Pose Estimation + Matching [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Demo code: https://github.com/flyawaychase ...
Ching-Hang Chen, Deva Ramanan
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Monocular 3D human pose estimation by classification [PDF]
2011 IEEE International Conference on Multimedia and Expo, 2011 We present a novel approach to 2D and 3D human pose estimation in monocular images by building on and improving recent advances in this field. We take the full body pose as a combination of a 3D pose and a viewpoint and in this way define classes that are then learned by a classifier. Compared to part based approaches, our approach does not suffer from
Greif, Thomas +2 more
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Deep 3D human pose estimation: A review
Computer Vision and Image Understanding, 2021 Three-dimensional (3D) human pose estimation involves estimating the articulated 3D joint locations of a human body from an image or video. Due to its widespread applications in a great variety of areas, such as human motion analysis, human–computer interaction, robots, 3D human pose estimation has recently attracted increasing attention in the ...
Jinbao Wang +6 more
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Estimation of 3D human pose using prior knowledge [PDF]
Journal of Electronic Imaging, 2021 Estimating three-dimensional human poses from the positions of two-dimensional joints has shown promising results.However, using two-dimensional joint coordinates as input loses more information than image-based approaches and results in ambiguity.In order to overcome this problem, we combine bone length and camera parameters with two-dimensional joint
Lei Zhang, Shu Chen, Beiji Zou 0001
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View Invariant 3D Human Pose Estimation [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2020 The recent success of deep networks has significantly advanced 3D human pose estimation from 2D images. The diversity of capturing viewpoints and the flexibility of the human poses, however, remain some significant challenges. In this paper, we propose a view invariant 3D human pose estimation module to alleviate the effects of viewpoint diversity. The
Guoqiang Wei +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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3D Human Pose Estimation with Relational Networks [PDF]
CoRR, 2018 In this paper, we propose a novel 3D human pose estimation algorithm from a single image based on neural networks. We adopted the structure of the relational networks in order to capture the relations among different body parts. In our method, each pair of different body parts generates features, and the average of the features from all the pairs are ...
Sungheon Park, Nojun Kwak
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Towards Generalization of 3D Human Pose Estimation in the Wild [PDF]
, 2021 In this paper, we propose 3DBodyTex.Pose, a dataset that addresses the task of 3D human pose estimation in-the-wild. Generalization to in-the-wild images remains limited due to the lack of adequate datasets. Existent ones are usually collected in indoor controlled environments where motion capture systems are used to obtain the 3D ground-truth ...
Renato Baptista +3 more
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