Results 11 to 20 of about 130,491 (270)

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, Cuiling Lan, Wenjun Zeng, Zhibo Chen   +3 more
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Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition [PDF]

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Accepted by IEEE Transactions on Circuits and Systems for Video Technology.
Tianlang Chen, Chen Fang, Xiaohui Shen, Yiheng Zhu, Zhili Chen, Jiebo Luo   +5 more
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Exploiting temporal information for 3D pose estimation [PDF]

, 2018
In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict ...
Alejandro Newell, C Barron, C Ionescu, D Mehta, F Bogo, G Mori, HJ Lee, L Bo, L Sigal, S Hochreiter, S Li, S Park, V Ramakrishna, X Zhou, Y Du   +14 more
core   +2 more sources

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, Yanyan Zhang, Yijie Zheng, Jianxin Luo, Zhisong Pan   +4 more
doaj   +2 more sources

Origin centric and part based pose decomposition for 3D human pose estimation [PDF]

Scientific Reports
Transformer-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, Jinxin Yao, Juan Huang, Jingjing Chen, Yingying Xu, Lu Yang, Lei Zhao, Wei Xing   +7 more
doaj   +2 more sources

A Survey of the State of the Art in Monocular 3D Human Pose Estimation: Methods, Benchmarks, and Challenges [PDF]

Sensors
Three-dimensional human pose estimation (3D HPE) from monocular RGB cameras is a fundamental yet challenging task in computer vision, forming the basis of a wide range of applications such as action recognition, metaverse, self-driving, and healthcare ...
Yan Guo, Tianhan Gao, Aoshuang Dong, Xinbei Jiang, Zichen Zhu, Fuxin Wang   +5 more
doaj   +2 more sources

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, Naveen Sehgal, Sarah Ostadabbas   +2 more
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EM-POSE: 3D Human Pose Estimation from Sparse Electromagnetic Trackers [PDF]

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Kaufmann, Manuel; id_orcid0000-0001-5309-319X, Zhao, Yi, Tang, Chengcheng, Tao, Lingling, Twigg, Christopher, Song, Jie, Wang, Robert Y., Hilliges, Otmar; id_orcid0000-0002-5068-3474   +7 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
Chen, Shu, Zhang, Lei, Zou, Beiji
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Scene-Aware Egocentric 3D Human Pose Estimation

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Egocentric 3D human pose estimation with a single head-mounted fisheye camera has recently attracted attention due to its numerous applications in virtual and augmented reality. Existing methods still struggle in challenging poses where the human body is highly occluded or is closely interacting with the scene. To address this issue, we propose a scene-
Wang, J., Luvizon, D., Xu, W., Liu, L., Sarkar, K., Theobalt, C. ; https://orcid.org/0000-0001-6104-6625   +5 more
openaire   +3 more sources