Marker-enhanced Hand Tracking with Deep Learning-Reference-Cited by-同舟云学术

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Marker-enhanced Hand Tracking with Deep Learning

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence (VRHCIAI)
language:
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Author:

Yang Donghao¹,Cao Xian²,Liu Yazui³,Xu Shuhong⁴

Affiliation:

1. School of Mechanical Engineering, Sichuan University,Chengdu,China

2. School of Mechanical Engineering & Automation, Beihang University,Beijing,China

3. Research Institute of Aero-Engine, Beihang University,Beijing,China

4. Beijing Aircraft Technology Research Institute, COMAC,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10062102/10062866/10062894.pdf?arnumber=10062894

Reference21 articles.

1. Generative 3D Hand Tracking with Spatially Constrained Pose Sampling

2. Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization

3. V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map;moon;Conference on Computer Vision and Pattern Recognition,2018

4. Online generative model personalization for hand tracking

5. Topological structural analysis of digitized binary images by border following

Cited by 1 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. Random Forest Distance Estimator Based on Monocular Egocentric RGB Camera in Human-Robot Collaboration;2023 8th International Conference on Communication, Image and Signal Processing (CCISP);2023-11-17

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