EventEgoHands: Event-based Egocentric 3D Hand Mesh Reconstruction
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Abstract (arXiv)
Reconstructing 3D hand mesh is challenging but an important task for human-computer interaction and AR/VR applications. In particular, RGB and/or depth cameras have been widely used in this task. However, methods using these conventional cameras face challenges in low-light environments and during motion blur. Thus, to address these limitations, event cameras have been attracting attention in recent years for their high dynamic range and high temporal resolution. Despite their advantages, event cameras are sensitive to background noise or camera motion, which has limited existing studies to static backgrounds and fixed cameras. In this study, we propose EventEgoHands, a novel method for event-based 3D hand mesh reconstruction in an egocentric view. Our approach introduces a Hand Segmentation Module that extracts hand regions, effectively mitigating the influence of dynamic background events. We evaluated our approach and demonstrated its effectiveness on the N-HOT3D dataset, improving MPJPE by approximately more than 4.5 cm (43%).
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 17 of its 22 references that are in the map. First posted on arXiv 25 May 2025.
Builds on
17 of 22 references.
References · 17
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
- 2019Event-based Vision: A Surveycited by 1,016
- 2017Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentationscited by 620
- 2023Reconstructing Hands in 3D with Transformerscited by 306
- 2022Embodied Hands: Modeling and Capturing Hands and Bodies Togethercited by 181
- 2024HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videoscited by 129
- 2017Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensorcited by 84
- 2023AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimationcited by 64
- 2020EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Streamcited by 48
- 2021EventHPE: Event-based 3D Human Pose and Shape Estimationcited by 42
5 more
- 20233D Hand Pose Estimation in Everyday Egocentric Imagescited by 34
- 2024EventEgo3D: 3D Human Motion Capture from Egocentric Event Streamscited by 29
- 2023EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervisioncited by 17
- 20233D Pose Estimation of Two Interacting Hands from a Monocular Event Cameracited by 17
- 2024HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimationcited by 1
Built on by
Citing papers per year: 2025: 1; 2026: 4.
5 papers.
- 2026EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learningcited by 3
- 2026EgoEV-HandPose: Egocentric 3D Hand Pose Estimation and Gesture Recognition with Stereo Event Camerascited by 2
- 2025EvHand-FPV: Efficient Event-Based 3D Hand Tracking from First-Person Viewcited by 1
- 2026EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Datasetcited by 0
- 2026ESTHER: Egocentric Stereo Hand Estimation and Reconstruction in the Wildcited by 0
- 2026ESTHER: Egocentric Stereo Hand Estimation and Reconstruction in the Wild28 Sep 2026
- 2026EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset15 Sep 2026
- 2026EgoEV-HandPose: Egocentric 3D Hand Pose Estimation and Gesture Recognition with Stereo Event Cameras12 May 2026
- 2026EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning27 Jan 2026
- 2025EvHand-FPV: Efficient Event-Based 3D Hand Tracking from First-Person View17 Sep 2025