Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
2017-12-11CVPR 2018Code Available0· sign in to hype
Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, Tae-Kyun Kim
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/mks0601/V2V-PoseNet_RELEASEpytorch★ 0
Abstract
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| HANDS 2017 | RCN-3D | Average 3D Error | 9.97 | — | Unverified |
| HANDS 2017 | Vanora | Average 3D Error | 11.91 | — | Unverified |