Papers › Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Xinghao Chen, Guijin Wang, Hengkai Guo, Cairong Zhang
Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolutional neural network, accurate hand pose estimation is still a challenging problem. In this paper we propose a Pose guided structured Region Ensemble Network (Pose-REN) to boost the performance of hand pose estimation. The proposed method extracts regions from the feature maps of convolutional neural network under the guide of an initially estimated pose, generating more optimal and representative features for hand pose estimation. The extracted feature regions are then integrated hierarchically according to the topology of hand joints by employing tree-structured fully connections. A refined estimation of hand pose is directly regressed by the proposed network and the final hand pose is obtained by utilizing an iterative cascaded method. Comprehensive experiments on public hand pose datasets demonstrate that our proposed method outperforms state-of-the-art algorithms.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Hand Pose Estimation | HANDS 2017 | Pose-REN | Average 3D Error | 11.70 | #8 of 9 | Archive leaderboard | report |
| Hand Pose Estimation | ICVL Hands | Pose-REN | Average 3D Error | 6.8 | #10 of 15 | Archive leaderboard | report |
| Hand Pose Estimation | MSRA Hands | Pose-REN | Average 3D Error | 8.6 | #9 of 11 | Archive leaderboard | report |
| Hand Pose Estimation | NYU Hands | Pose-REN | Average 3D Error | 11.8 | #14 of 17 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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