Depth-based 3D human pose refinement: Evaluating the refinet framework-Reference-Cited by-同舟云学术

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Depth-based 3D human pose refinement: Evaluating the refinet framework

Published:2023-07 Issue: Volume:171 Page:185-191
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

D’Eusanio Andrea,Simoni Alessandro^ORCID,Pini Stefano^ORCID,Borghi Guido,Vezzani Roberto^ORCID,Cucchiara Rita

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. 3D skeleton-based human action classification: asurvey;Presti;Pattern Recognit.,2016

2. Fast gesture recognition with multiple stream discrete hmms on 3d skeletons;Borghi,2016

3. Skeleton estimation and tracking by means of depth data fusion from depth camera networks;Carraro;Rob. Auton. Syst.,2018

4. Realtime multi-person 2d pose estimation using part affinity fields;Cao,2017

5. Deep high-resolution representation learning for human pose estimation;Sun,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HandFormer: Hand pose reconstructing from a single RGB image;Pattern Recognition Letters;2024-07

2. A Graph Convolution Network and Fuzzy C-Means Based Human Skeleton Complement Method for Action Recognition Dataset Improvement;2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE);2023-11-17

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