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Learning Monocular 3D Human Pose Estimation from Multi-view Images [article]

Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua
2018 arXiv   pre-print
Accurate 3D human pose estimation from single images is possible with sophisticated deep-net architectures that have been trained on very large datasets.  ...  Furthermore, we propose a method to estimate camera pose jointly with human pose, which lets us utilize multi-view footage where calibration is difficult, e.g., for pan-tilt or moving handheld cameras.  ...  Introduction With the advent of Deep Learning, the effectiveness of monocular 3D human pose estimation algorithms has greatly improved.  ... 
arXiv:1803.04775v2 fatcat:7wk5hvbydrav5ixnhmph3hzztu

Learning Monocular 3D Human Pose Estimation from Multi-view Images

Helge Rhodin, Frederic Meyer, Jorg Sporri, Erich Muller, Victor Constantin, Pascal Fua, Isinsu Katircioglu, Mathieu Salzmann
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Accurate 3D human pose estimation from single images is possible with sophisticated deep-net architectures that have been trained on very large datasets.  ...  While such view consistency constraints increase accuracy, they are unfortunately not sufficient. For example, the network can learn to always predict the same pose, independently of the input image.  ...  Introduction With the advent of Deep Learning, the effectiveness of monocular 3D human pose estimation algorithms has greatly improved.  ... 
doi:10.1109/cvpr.2018.00880 dblp:conf/cvpr/RhodinSKCMMSF18 fatcat:rdvc5lfagjfuhbwdoqamze5m4u

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.  ...  Inspired by the remarkable achievements in learning-based 2D human pose estimation, numerous research studies are devoted to the topic of 3D human pose estimation via deep learning methods.  ...  [55] , they propose a multi-task framework for jointly estimating 2D or 3D human poses from monocular images.  ... 
doi:10.3390/electronics10182267 fatcat:ajnizu776ncpto3jvyh3zye2si

Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates [article]

Diogo C Luvizon, Hedi Tabia, David Picard
2021 arXiv   pre-print
Based on this, we also present a consensus-based optimization algorithm for multi-view predictions from uncalibrated images, which requires a single monocular training procedure.  ...  Alternatively, we propose a 3D human pose estimation method in camera coordinates, which allows effective combination of 2D annotated data and 3D poses and a straightforward multi-view generalization.  ...  [38] proposed to collect 3D poses from 2D multi-view image, which are used to learn a second model to perform 3D estimations.  ... 
arXiv:1911.09245v3 fatcat:xn22yg235zechelgozuhjbmjtm

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

Jun Sun, Mantao Wang, Xin Zhao, Dejun Zhang
2020 Symmetry  
In this paper, we study the problem of monocular 3D human pose estimation based on deep learning.  ...  To address the above-mentioned issues, we propose a novel end-to-end 3D pose estimation network for monocular 3D human pose estimation.  ...  To the best of our knowledge, there is no previous work that generates multi-view 2D keypoints from a monocular image to estimate 3D pose.  ... 
doi:10.3390/sym12071116 fatcat:4bmbreqhcrauzck7ib6wbwnd3m

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.  ...  Compared with the 2D pose estimation, estimating the 3D pose from monocular 2D images is much more challenging.  ... 
doi:10.1145/3524497 fatcat:4pbvntngrnfp7lqhcpjmy7p2fq

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.  ...  Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications.  ...  Compared with the 2D pose estimation, estimating 3D pose from monocular 2D images is much more challenging.  ... 
arXiv:2104.11536v1 fatcat:tdag2jq2vjdrjekwukm5nu7l6a

3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network [chapter]

Sijin Li, Antoni B. Chan
2015 Lecture Notes in Computer Science  
In this paper, we propose a deep convolutional neural network for 3D human pose estimation from monocular images.  ...  Discriminative methods view pose estimation as a regression problem [4, [9] [10] [11] . After extracting features from the image, a mapping is learned from the feature space to the pose space.  ...  This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (CityU 123212 and CityU 110513). 3D Human Pose Estimation from Monocular Images with Deep  ... 
doi:10.1007/978-3-319-16808-1_23 fatcat:4rwf5y3avnbfxgahnyhn6nzbdy

TexturePose: Supervising Human Mesh Estimation with Texture Consistency [article]

Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis
2019 arXiv   pre-print
This makes our proposed supervision applicable in a variety of settings, ranging from monocular video, to multi-view images.  ...  This work addresses the problem of model-based human pose estimation.  ...  [44] propose a similar approach to improve a hand keypoint detector given multi-view data. Rhodin et al. [39] learn 3D pose estimation by enforcing the pose consistency in all views.  ... 
arXiv:1910.11322v1 fatcat:d6i2llmnzbfxplv4j7nym3ll54

DeepCap: Monocular Human Performance Capture Using Weak Supervision [article]

Marc Habermann, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
2020 arXiv   pre-print
We propose a novel deep learning approach for monocular dense human performance capture.  ...  Our method is trained in a weakly supervised manner based on multi-view supervision completely removing the need for training data with 3D ground truth annotations.  ...  Conclusion We have presented a learning-based approach for monocular dense human performance capture using only weak multi-view supervision.  ... 
arXiv:2003.08325v1 fatcat:3sb7icxkhvhbteftru3a6kg27y

A review of 3D human pose estimation algorithms for markerless motion capture [article]

Yann Desmarais, Denis Mottet, Pierre Slangen, Philippe Montesinos
2021 arXiv   pre-print
Here, we review the leading human pose estimation methods of the past five years, focusing on metrics, benchmarks and method structures.  ...  Human pose estimation is a very active research field, stimulated by its important applications in robotics, entertainment or health and sports sciences, among others.  ...  Volumetric intermediate features computed from multi-view can be fed to 3D convolution networks to refine or estimate the pose.  ... 
arXiv:2010.06449v3 fatcat:lo442jzoqvhlfedse7u7l6fjje

Leaving Flatland: Advances in 3D behavioral measurement [article]

Jesse D. Marshall, Tianqing Li, Joshua H. Wu, Timothy W. Dunn
2021 arXiv   pre-print
Existing 3D measurement techniques draw on specialized hardware, such as motion capture or depth cameras, as well as deep multi-view and monocular computer vision.  ...  Continued advances at the intersection of deep learning and computer vision will facilitate 3D tracking across more anatomical features, with less training data, in additional species, and within more  ...  (f) Monocular 3D methods use CNNs to predict 3D pose directly from 2D information in a single view. However, most existing techniques require multi-view ground-truth 3D labels for training.  ... 
arXiv:2112.01987v1 fatcat:z5dqj47s3fbt3d4t75bnsp2l6q

Deep 3D human pose estimation: A review

Jinbao Wang, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He, Ling Shao
2021 Computer Vision and Image Understanding  
Three-dimensional (3D) human pose estimation involves estimating the articulated 3D joint locations of a human body from an image or video.  ...  A robot can better serve and help users if it can understand 3D poses, actions and J o u r n a l P r e -p r o o f Journal Pre-proof Abstract 3D human pose estimation from a monocular image or 2D joints  ...  B S (~ ; S) = |~ | X n=1 n S n (8) Table 1 . 1 3D Human pose datasets Table 3 . 3 3D human pose estimation from multi-view imagesTable 4. 3D human pose estimation from a sequence of monocular  ... 
doi:10.1016/j.cviu.2021.103225 fatcat:hvlgjuxd2zfgji6k4y4g65cs7y

Recurrent 3D Pose Sequence Machines

Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
3D human articulated pose recovery from monocular image sequences is very challenging due to the diverse appearances, viewpoints, occlusions, and also the human 3D pose is inherently ambiguous from the  ...  In contrast, this paper presents a Recurrent 3D Pose Sequence Machine(RPSM) to automatically learn the image-dependent structural constraint and sequence-dependent temporal context by using a multi-stage  ...  Conclusion We have proposed a novel Recurrent 3D Pose Sequence Machines (RPSM) for estimating 3D human pose from a sequence of monocular images.  ... 
doi:10.1109/cvpr.2017.588 dblp:conf/cvpr/LinLLWC17 fatcat:hxtwzipsg5ajjgxf4i72wfgtlm

Recurrent 3D Pose Sequence Machines [article]

Mude Lin and Liang Lin and Xiaodan Liang and Keze Wang and Hui Cheng
2017 arXiv   pre-print
3D human articulated pose recovery from monocular image sequences is very challenging due to the diverse appearances, viewpoints, occlusions, and also the human 3D pose is inherently ambiguous from the  ...  In contrast, this paper presents a Recurrent 3D Pose Sequence Machine(RPSM) to automatically learn the image-dependent structural constraint and sequence-dependent temporal context by using a multi-stage  ...  Conclusion We have proposed a novel Recurrent 3D Pose Sequence Machines (RPSM) for estimating 3D human pose from a sequence of monocular images.  ... 
arXiv:1707.09695v1 fatcat:66ce34u2jffbpjz2myd2mszfk4
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