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Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images [article]

Size Wu, Sheng Jin, Wentao Liu, Lei Bai, Chen Qian, Dong Liu, Wanli Ouyang
2021 arXiv   pre-print
For 3D person localization, we first use Multi-view Matching Graph Module (MMG) to learn the cross-view association and recover coarse human proposals.  ...  For 3D pose estimation, the Pose Regression Graph Module (PRG) learns both the multi-view geometry and structural relations between human joints.  ...  Recent research on 3D multi-person pose estimation using multi-view images generally follows two streams: 2Dto-3D lifting-based approaches and direct 3D estimation approaches.  ... 
arXiv:2109.05885v1 fatcat:slivz6tknbbxdjyaz4qv2gl4si

Deep Learning Methods for 3D Human Pose Estimation under Different Supervision Paradigms: A Survey

Dejun Zhang, Yiqi Wu, Mingyue Guo, Yilin Chen
2021 Electronics  
The learning-based pose estimation is discussed from two categories: single-person and multi-person.  ...  Based on this literature survey, it can be concluded that each branch of 3D human pose estimation starts with fully-supervised methods, and there is still much room for multi-person pose estimation based  ...  Here, we first introduce image-based approaches and then video-based approaches. Single-Person 3D Pose Estimation from Images Images include monocular images and multi-view images.  ... 
doi:10.3390/electronics10182267 fatcat:ajnizu776ncpto3jvyh3zye2si

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective [article]

Wu Liu, Qian Bao, Yu Sun, Tao Mei
2021 arXiv   pre-print
, and the complex multi-person scenarios.  ...  Recently, benefited from the deep learning technologies, a significant amount of research efforts have greatly advanced the monocular human pose estimation both in 2D and 3D areas.  ...  The multi-view images are exploited for the corresponding 3D pose estimation. Multi-view 3D pose results are normalized and then aligned using Procrustes analysis for the consistency.  ... 
arXiv:2104.11536v1 fatcat:tdag2jq2vjdrjekwukm5nu7l6a

Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry [article]

He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian
2020 arXiv   pre-print
Epipolar constraints are at the core of feature matching and depth estimation in current multi-person multi-camera 3D human pose estimation methods.  ...  In this paper, we depart from the multi-person 3D pose estimation formulation, and instead reformulate it as crowd pose estimation.  ...  The authors would like to thank Yawei Li and Weixiao Liu for useful discussion.  ... 
arXiv:2007.10986v1 fatcat:tvypyg5g4ndffj5je6o4t7wssm

Deep Learning-Based Human Pose Estimation: A Survey [article]

Ce Zheng and Wenhan Wu and Chen Chen and Taojiannan Yang and Sijie Zhu and Ju Shen and Nasser Kehtarnavaz and Mubarak Shah
2022 arXiv   pre-print
Furthermore, 2D and 3D human pose estimation datasets and evaluation metrics are included.  ...  The goal of this survey paper is to provide a comprehensive review of recent deep learning-based solutions for both 2D and 3D pose estimation via a systematic analysis and comparison of these solutions  ...  Thus deep learning-based 3D HPE methods are divided into three categories: single-view single person 3D HPE, single-view multi-person 3D HPE, and multi-view 3D HPE. 4.1.1 Single-view single person 3D HPE  ... 
arXiv:2012.13392v4 fatcat:ypnqtq3sbncr5fuujif2dhqwji

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Wu Liu, Tao Mei
2022 ACM Computing Surveys  
Furthermore, we analyze the solutions for challenging cases, such as the lack of data, the inherent ambiguity between 2D and 3D, and the complex multi-person scenarios.  ...  Especially, we provide insightful analyses for the intrinsic connections and methods evolution from 2D to 3D pose estimation.  ...  The multi-view images are exploited for the corresponding 3D pose estimation. Multi-view 3D pose results are normalized and then aligned using Procrustes analysis for consistency.  ... 
doi:10.1145/3524497 fatcat:4pbvntngrnfp7lqhcpjmy7p2fq

Shape-aware Multi-Person Pose Estimation from Multi-View Images [article]

Zijian Dong, Jie Song, Xu Chen, Chen Guo, Otmar Hilliges
2021 arXiv   pre-print
In this paper we contribute a simple yet effective approach for estimating 3D poses of multiple people from multi-view images.  ...  The final pose estimates are attained from a novel optimization scheme which links high-confidence multi-view 2D observations and 3D joint candidates.  ...  Conclusion In this paper, we propose an effective coarse-to-fine pipeline to estimate 3D multi-person poses from multi-view images.  ... 
arXiv:2110.02330v1 fatcat:nw4pe6ej3vdjdnp6mtz65pxpoi

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms [article]

Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy
2017 arXiv   pre-print
In this paper, we propose an approach for multi-view 3D human pose estimation from RGB-D images and demonstrate the benefits of using the additional depth channel for pose refinement beyond its use for  ...  Many approaches have been proposed for human pose estimation in single and multi-view RGB images.  ...  This paper investigates multi-person multi-view pose estimation using RGB-D data and makes the following contributions.  ... 
arXiv:1701.07372v1 fatcat:vztmw5hr4fgdlljqsaffcbpvs4

4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras [article]

Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu
2020 arXiv   pre-print
This paper contributes a novel realtime multi-person motion capture algorithm using multiview video inputs.  ...  To this end, for the first time, we unify per-view parsing, cross-view matching, and temporal tracking into a single optimization framework, i.e., a 4D association graph that each dimension (image space  ...  Single Image Parsing We restrict our single image parsing to the work that addresses multi-person pose estimation in 2D and 3D.  ... 
arXiv:2002.12625v1 fatcat:n53pvzavgnendg4x54qn3d65oq

FML: Face Model Learning from Videos [article]

Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
2019 arXiv   pre-print
Since image data is a 2D projection of a 3D face, the resulting depth ambiguity makes the problem ill-posed.  ...  Monocular image-based 3D reconstruction of faces is a long-standing problem in computer vision.  ...  [66] train a CNN to predict single-view 3D shape (represented as voxels) using multi-view ray consistency.  ... 
arXiv:1812.07603v2 fatcat:mdnemyu7xjf5lbhszg5i3e53fu

FML: Face Model Learning From Videos

Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Perez, Michael Zollhofer, Christian Theobalt
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Since image data is a 2D projection of a 3D face, the resulting depth ambiguity makes the problem ill-posed.  ...  Abstract Monocular image-based 3D reconstruction of faces is a long-standing problem in computer vision.  ...  [66] train a CNN to predict single-view 3D shape (represented as voxels) using multi-view ray consistency.  ... 
doi:10.1109/cvpr.2019.01107 dblp:conf/cvpr/TewariB0BESPZT19 fatcat:6gf5b75bkzbldhzbyqnun4okzm

Multi-View Pose Generator Based on Deep Learning for Monocular 3D Human Pose Estimation

Jun Sun, Mantao Wang, Xin Zhao, Dejun Zhang
2020 Symmetry  
The common methods use the multi-view based 3D pose estimation method to solve this problem.  ...  However, single-view images cannot be used directly in multi-view methods, which greatly limits practical applications.  ...  14, 15] , and multi-view images based 3D pose estimation [16] [17] [18] [19] .  ... 
doi:10.3390/sym12071116 fatcat:4bmbreqhcrauzck7ib6wbwnd3m

Graph-based Hand-Object Meshes and Poses Reconstruction with Multi-Modal Input

Murad Almadani, Ahmed Elhayek, Jameel Malik, Didier Stricker
2021 IEEE Access  
[37] estimated 3D hand pose from single RGB image (both from egocentric and third-person viewpoints) via CNNs.  ...  In Stage 1, a Graph-based pose estimator jointly generates the 3D pose of hand and object P 3D .  ... 
doi:10.1109/access.2021.3117473 fatcat:vqci752wczf2jc5tfxahp3nrbi

HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization [article]

Jiahao Lin, Gim Hee Lee
2020 arXiv   pre-print
Current works on multi-person 3D pose estimation mainly focus on the estimation of the 3D joint locations relative to the root joint and ignore the absolute locations of each pose.  ...  Our HDNet first estimates the 2D human pose with heatmaps of the joints. These estimated heatmaps serve as attention masks for pooling features from image regions corresponding to the target person.  ...  For singleperson 3D pose estimation, we use the volumetric-based 3D pose estimator by [29] .  ... 
arXiv:2007.08943v1 fatcat:6pxzh47bprennpprionh264zy4

Multi-View Matching (MVM): Facilitating Multi-Person 3D Pose Estimation Learning with Action-Frozen People Video [article]

Yeji Shen, C.-C. Jay Kuo
2020 arXiv   pre-print
To tackle the challeging problem of multi-person 3D pose estimation from a single image, we propose a multi-view matching (MVM) method in this work.  ...  With a large amount of in-the-wild video data labeled by 3D supervisions automatically generated by MVM, we are able to train a neural network that takes a single image as the input for multi-person 3D  ...  In practice, we are interested in multi-person 3D pose estimation from a single image.  ... 
arXiv:2004.05275v1 fatcat:5xpqhxrm3bgynlqs54otj7hemm
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