Deep learning-based estimation of whole-body kinematics from multi-view images

[1]  Ju Yong Chang,et al.  Learnable Human Mesh Triangulation for 3D Human Pose and Shape Estimation , 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

[2]  Cewu Lu,et al.  HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Katerina Fragkiadaki,et al.  Epipolar Transformers , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  Michael J. Black,et al.  VIBE: Video Inference for Human Body Pose and Shape Estimation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Victor Lempitsky,et al.  Learnable Triangulation of Human Pose , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[6]  Dong Liu,et al.  Deep High-Resolution Representation Learning for Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Xu Xu,et al.  A Deep Neural Network-based method for estimation of 3D lifting motions. , 2019, Journal of biomechanics.

[8]  Yi Zhou,et al.  On the Continuity of Rotation Representations in Neural Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Dario Pavllo,et al.  QuaterNet: A Quaternion-based Recurrent Model for Human Motion , 2018, BMVC.

[10]  Jitendra Malik,et al.  End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[11]  Kyoung Mu Lee,et al.  V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[12]  Vladimir Pavlovic,et al.  Using a marker-less method for estimating L5/S1 moments during symmetrical lifting. , 2017, Applied ergonomics.

[13]  James J. Little,et al.  A Simple Yet Effective Baseline for 3d Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[14]  Xiaowei Zhou,et al.  Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Wei Zhang,et al.  Deep Kinematic Pose Regression , 2016, ECCV Workshops.

[16]  Peter V. Gehler,et al.  Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.

[17]  Jia Deng,et al.  Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.

[18]  Michael J. Black,et al.  SMPL: A Skinned Multi-Person Linear Model , 2023 .

[19]  Jitendra Malik,et al.  Human Pose Estimation with Iterative Error Feedback , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[21]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[22]  Cristian Sminchisescu,et al.  Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Christian Szegedy,et al.  DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[24]  S. Mihradi,et al.  Development of an optical motion-capture system for 3D gait analysis , 2011, 2011 2nd International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering.

[25]  Emiliano Gambaretto,et al.  Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation , 2010, International Journal of Computer Vision.

[26]  Cristian Sminchisescu,et al.  Twin Gaussian Processes for Structured Prediction , 2010, International Journal of Computer Vision.

[27]  Ajay Seth,et al.  Muscle contributions to propulsion and support during running. , 2010, Journal of biomechanics.

[28]  Silvia Conforto,et al.  Markerless Human Motion Analysis in Gauss–Laguerre Transform Domain: An Application to Sit-To-Stand in Young and Elderly People , 2009, IEEE Transactions on Information Technology in Biomedicine.

[29]  Cornie Scheffer,et al.  Benchmarking of a full-body inertial motion capture system for clinical gait analysis , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[30]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.

[31]  R. Giryes,et al.  FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction , 2021, ArXiv.