Sequential 3D Human Pose and Shape Estimation From Point Clouds

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr42600.2020.00730 ◽

2020 ◽

Author(s):

Kangkan Wang ◽

Jin Xie ◽

Guofeng Zhang ◽

Lei Liu ◽

Jian Yang

Keyword(s):

Point Clouds ◽

Shape Estimation ◽

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3D human pose and shape estimation with dense correspondence from a single depth image

The Visual Computer ◽

10.1007/s00371-021-02339-4 ◽

2022 ◽

Author(s):

Kangkan Wang ◽

Guofeng Zhang ◽

Jian Yang

Keyword(s):

Depth Image ◽

Shape Estimation ◽

Dense Correspondence

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Using segmented 3D point clouds for accurate likelihood approximation in human pose tracking

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) ◽

10.1109/iccvw.2011.6130270 ◽

2011 ◽

Author(s):

Nicolas H. Lehment ◽

Moritz Kaiser ◽

Gerhard Rigoll

Keyword(s):

Point Clouds ◽

Pose Tracking ◽

3D Point Clouds ◽

Likelihood Approximation ◽

Human Pose Tracking ◽

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Real-time Curve-skeleton Extraction of Human-scanned Point Clouds - Application in Upright Human Pose Estimation

Proceedings of the 10th International Conference on Computer Vision Theory and Applications ◽

10.5220/0005298300540060 ◽

2015 ◽

Author(s):

Frederic Garcia ◽

Bjorn Ottersten

Keyword(s):

Real Time ◽

Pose Estimation ◽

Point Clouds ◽

Human Pose Estimation ◽

Skeleton Extraction ◽

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HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation

10.1109/cvpr46437.2021.00339 ◽

2021 ◽

Author(s):

Jiefeng Li ◽

Chao Xu ◽

Zhicun Chen ◽

Siyuan Bian ◽

Lixin Yang ◽

...

Keyword(s):

Inverse Kinematics ◽

Shape Estimation ◽

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Pseudo View Representation Learning for Monocular RGB-D Human Pose and Shape Estimation

IEEE Signal Processing Letters ◽

10.1109/lsp.2021.3134136 ◽

2021 ◽

pp. 1-1

Author(s):

Armando Zhu ◽

Jiefeng Li ◽

Cewu Lu

Keyword(s):

Representation Learning ◽

Shape Estimation ◽

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Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking

International Journal of Computer Vision ◽

10.1007/s11263-012-0557-0 ◽

2012 ◽

Vol 101 (3) ◽

pp. 482-497 ◽

Author(s):

Nicolas Lehment ◽

Moritz Kaiser ◽

Gerhard Rigoll

Keyword(s):

Point Clouds ◽

Pose Tracking ◽

3D Point Clouds ◽

Likelihood Approximation ◽

Human Pose Tracking ◽

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3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-view Model-fitting

2021 IEEE Winter Conference on Applications of Computer Vision (WACV) ◽

10.1109/wacv48630.2021.00193 ◽

2021 ◽

Author(s):

Zhongguo Li ◽

Magnus Oskarsson ◽

Anders Heyden

Keyword(s):

Collaborative Learning ◽

Model Fitting ◽

Shape Estimation ◽

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Real-time Human Pose Estimation from Body-scanned Point Clouds

Proceedings of the 10th International Conference on Computer Vision Theory and Applications ◽

10.5220/0005309005530560 ◽

2015 ◽

Author(s):

Jilliam María Díaz Barros ◽

Frederic Garcia ◽

Désiré Sidibé

Keyword(s):

Real Time ◽

Pose Estimation ◽

Point Clouds ◽

Human Pose Estimation ◽

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Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation

2018 International Conference on 3D Vision (3DV) ◽

10.1109/3dv.2018.00062 ◽

2018 ◽

Author(s):

Mohamed Omran ◽

Christoph Lassner ◽

Gerard Pons-Moll ◽

Peter Gehler ◽

Bernt Schiele

Keyword(s):

Deep Learning ◽

Shape Estimation ◽

Model Based ◽

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Shape Estimation from 3D Point Clouds

Intelligent Data analysis and its Applications, Volume I - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-07776-5_5 ◽

2014 ◽

pp. 39-46

Author(s):

Jingyong Su ◽

Lin-Lin Tang

Keyword(s):

Point Clouds ◽

Shape Estimation ◽

3D Point Clouds

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