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Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB [article]

Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, Christian Theobalt
2018 arXiv   pre-print
We propose a new single-shot method for multi-person 3D pose estimation in general scenes from a monocular RGB camera.  ...  To further stimulate research in multi-person 3D pose estimation, we will make our new datasets, and associated code publicly available for research purposes.  ...  Supplementary Document: Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB 1.  ... 
arXiv:1712.03453v3 fatcat:pnhwtrnqsbhelen47etpk4namm

Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV [article]

Stuart Golodetz, Madhu Vankadari, Aluna Everitt, Sangyun Shin, Andrew Markham, Niki Trigoni
2022 arXiv   pre-print
In this paper, we present what is thus, to our knowledge, the first system to perform simultaneous mapping and multi-person 3D human pose estimation from a monocular camera mounted on a single UAV.  ...  However, despite many recent works on both marker-based and markerless multi-UAV single-person motion capture, markerless single-camera multi-person 3D human pose estimation remains a much earlier-stage  ...  Notably, whilst many of these works are extremely impressive, none of them currently attempts to perform both online mapping and markerless multi-person 3D human pose estimation from a single monocular  ... 
arXiv:2203.02453v1 fatcat:hs2ymgqzyfethl6eszh4iemhcm

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  ...  Single-Person 3D Pose Estimation from Images Images include monocular images and multi-view images.  ... 
doi:10.3390/electronics10182267 fatcat:ajnizu776ncpto3jvyh3zye2si

HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation [article]

Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu
2020 arXiv   pre-print
Remarkable progress has been made in 3D human pose estimation from a monocular RGB camera. However, only a few studies explored 3D multi-person cases.  ...  The proposed method significantly outperforms state-of-the-art methods on publicly available multi-person 3D pose datasets.  ...  Single-person 3D Pose Estimation. There are two approaches to the problem of single-person 3D pose estimation from monocular RGB: single-stage and two-stage approaches.  ... 
arXiv:2008.00206v2 fatcat:bgdxil5v45c5tf6ufuw7f5zl7u

Gravity-Aware Monocular 3D Human-Object Reconstruction [article]

Rishabh Dabral and Soshi Shimada and Arjun Jain and Christian Theobalt and Vladislav Golyanik
2021 arXiv   pre-print
., a new approach for joint markerless 3D human motion capture and object trajectory estimation from monocular RGB videos. We focus on scenes with objects partially observed during a free flight.  ...  The proposed human-object interaction constraints ensure geometric consistency of the 3D reconstructions and improved physical plausibility of human poses compared to the unconstrained case.  ...  Introduction Markerless 3D human motion capture from a single monocular RGB camera has many open challenges.  ... 
arXiv:2108.08844v1 fatcat:ve7om7j4kfcfvp76f2vs2gqjqu

Video Based Reconstruction of 3D People Models

Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Abstract This paper describes a method to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving.  ...  Figure 1 : Our technique allows to extract for the first time accurate 3D human body models, including hair and clothing, from a single video sequence of the person moving in front of the camera such that  ...  Acknowledgments The authors gratefully acknowledge funding by the German Science Foundation from project DFG MA2555/12-1.  ... 
doi:10.1109/cvpr.2018.00875 dblp:conf/cvpr/AlldieckMXTP18 fatcat:o4kwdol2ojhunonfgsilkx573e

Video Based Reconstruction of 3D People Models [article]

Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll
2018 arXiv   pre-print
This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving.  ...  This enables efficient estimation of a consensus 3D shape, texture and implanted animation skeleton based on a large number of frames.  ...  Acknowledgments The authors gratefully acknowledge funding by the German Science Foundation from project DFG MA2555/12-1.  ... 
arXiv:1803.04758v3 fatcat:6jwhxkpxi5bmtpccgzhgkcdopa

SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation [article]

Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, Xiaowei Zhou
2020 arXiv   pre-print
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view.  ...  Such a single-shot bottom-up scheme allows the system to better learn and reason about the inter-person depth relationship, improving both 3D and 2D pose estimation.  ...  Conclusion We proposed a novel single-shot bottom-up framework to estimate absolute multi-person 3D poses from a single RGB image.  ... 
arXiv:2008.11469v1 fatcat:xmfqbsjwtfd7ddy3rdtdu53zwy

Table of contents

2018 2018 International Conference on 3D Vision (3DV)  
), Kiarash Tamaddon (DFKI), Alexis Heloir (DFKI), and Didier Stricker (DFKI) Single-Shot Multi-person 3D Pose Estimation from Monocular RGB 120 Dushyant Mehta (MPI Informatics), Oleksandr Sotnychenko (  ...  Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture 474 Denis Tome (UCL), Matteo Toso (University of Surrey), Lourdes Agapito (University College London), and Chris Russell (  ... 
doi:10.1109/3dv.2018.00004 fatcat:zxjnidy5f5ai7aeednry3ggt7y

LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from Monocular Vision [article]

Zheyu Zhuang, Xin Yu, Robert Mahony
2020 arXiv   pre-print
(PBVS) grasping system adapted from a state-of-the-art single shot RGB 6D pose estimation algorithm.  ...  We demonstrate the proposed algorithm grasping mugs (textureless and symmetric objects) on a table-top from an over-the-shoulder monocular RGB camera.  ...  [10] present a real-time multi-class singleshot 6DoF pose estimation method from RGB images.  ... 
arXiv:2005.12072v2 fatcat:x4fyhmzkmza3bnxdab4ywpnppm

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

Wu Liu, Tao Mei
2022 ACM Computing Surveys  
Recently, benefiting from the deep learning technologies, a significant amount of research efforts have advanced the monocular human pose estimation both in 2D and 3D areas.  ...  Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications.  ...  Differently, PandaNet [8] is an anchor-based single-shot model for multi-person 3D pose estimation. It directly predicts the 2D/3D pose for each anchor position.  ... 
doi:10.1145/3524497 fatcat:4pbvntngrnfp7lqhcpjmy7p2fq

Synthetic Humans for Action Recognition from Unseen Viewpoints [article]

Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman
2020 arXiv   pre-print
Although synthetic training data has been shown to be beneficial for tasks such as human pose estimation, its use for RGB human action recognition is relatively unexplored.  ...  We make use of the recent advances in monocular 3D human body reconstruction from real action sequences to automatically render synthetic training videos for the action labels.  ...  We employ a 3D human motion estimation method, such as HMMR [26] and VIBE [29] , that automatically extracts the 3D human dynamics from a single-view RGB video.  ... 
arXiv:1912.04070v2 fatcat:kgfumn26nvhw5brmqk3otb6nqu

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
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.  ...  , and the complex multi-person scenarios.  ...  Multi-person Multi-stage methods • Scene constraints [187] ; • CRMH [188] . Single-shot methods • CenterHMR [44] . pose from monocular images, and 2) lifting the estimated 2D poses to 3D.  ... 
arXiv:2104.11536v1 fatcat:tdag2jq2vjdrjekwukm5nu7l6a

Detailed Full-Body Reconstructions of Moving People from Monocular RGB-D Sequences

Federica Bogo, Michael J. Black, Matthew Loper, Javier Romero
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
Abstract We accurately estimate the 3D geometry and appearance of the human body from a monocular RGB-D sequence of a user moving freely in front of the sensor.  ...  Figure 1 : From a monocular RGB-D sequence (background), we estimate a low-dimensional parametric model of body shape (left), detailed 3D shape (middle), and a high-resolution texture map (right).  ...  Conclusion We have presented a novel approach to estimate highresolution 3D shape and appearance of the human body from monocular RGB-D sequences acquired with a single sensor.  ... 
doi:10.1109/iccv.2015.265 dblp:conf/iccv/BogoBL015 fatcat:zl7z2nhxynguvexakefzdw74va

Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images [article]

Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer
2021 arXiv   pre-print
We address the problem of multi-person 3D body pose and shape estimation from a single image.  ...  While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have shown the advantages of building upon deep architectures that simultaneously  ...  Single-shot multi-person 3d [47] G. Rogez, P. Weinzaepfel, and C. Schmid. Lcr-net: pose estimation from monocular rgb.  ... 
arXiv:2111.01884v2 fatcat:i35rjfb6g5dq7cxyilanljntq4
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