EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream

Author:

Rudnev Viktor1,Golyanik Vladislav1,Wang Jiayi1,Seidel Hans-Peter1,Mueller Franziska2,Elgharib Mohamed1,Theobalt Christian1

Affiliation:

1. MPI for Informatics, SIC

2. Google Inc

Publisher

IEEE

Reference74 articles.

1. Learning to Estimate 3D Hand Pose from Single RGB Images

2. EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

3. Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data

4. Event-Based Stereo Visual Odometry

5. Observational evaluation of event cameras performance in optical space surveillance;?o?nowski;ESA NEO and Debris Detection Conference (2019),2019

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1. Challenges and solutions for vision-based hand gesture interpretation: A review;Computer Vision and Image Understanding;2024-11

2. EvHandPose: Event-Based 3D Hand Pose Estimation With Sparse Supervision;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

3. EHoA: A Benchmark for Task-Oriented Hand-Object Action Recognition via Event Vision;IEEE Transactions on Industrial Informatics;2024-08

4. Breaking the low sample rate equals low power paradigm using an event based vision approach for hand tracking in AR;Special Interest Group on Computer Graphics and Interactive Techniques Conference Emerging Technologies;2024-07-13

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