Author:
Ren Pengfei,Sun Haifeng,Huang Weiting,Hao Jiachang,Cheng Daixuan,Qi Qi,Wang Jingyu,Liao Jianxin
Funder
Beijing Municipal Natural Science Foundation
National Natural Science Foundation of China
Beijing University of Posts and Telecommunications
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference80 articles.
1. J. Tompson, M. Stein, Y. Lecun, K. Perlin, Real-time continuous pose recovery of human hands using convolutional networks, ACM Transactions on Graphics 33 (5) (2014) 169:1–169:10.
2. Depth-based 3d hand pose estimation: From current achievements to future goals;Yuan,2018
3. A survey on 3D hand pose estimation: Cameras, methods, and datasets;Li;Pattern Recogn.,2019
4. M. Oberweger, P. Wohlhart, V. Lepetit, Hands deep in deep learning for hand pose estimation, in: Proceedings of the Computer Vision Winter Workshop, 21–30, 2015a.
5. Region ensemble network: Improving convolutional network for hand pose estimation;Guo,2017
Cited by
16 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