Efficient Human Pose Estimation via 3D Event Point Cloud

Author:

Chen Jiaan1,Shi Hao1,Ye Yaozu1,Yang Kailun2,Sun Lei1,Wang Kaiwei1

Affiliation:

1. Zhejiang University

2. Karlsruhe Institute of Technology

Funder

National Natural Science Foundation of China (NSFC)

Publisher

IEEE

Reference68 articles.

1. Dynamic Graph CNN for Event-Camera Based Gesture Recognition

2. EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera

3. 3D Human Pose Estimation = 2D Pose Estimation + Matching

4. Simple baselines for human pose estimation and tracking;xiao;ECCV,0

5. Mobile-HumanPose: Toward real-time 3D human pose estimation in mobile devices;choi;cvprw,0

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1. 3d Landmark Detection on Human Point Clouds: A Benchmark and a Dual Cascade Point Transformer Framework;2024

2. Performance benchmark of deep learning human pose estimation for UAVs;Machine Vision and Applications;2023-09-07

3. Review of 3D Sensing Modalities for 3D Pose Estimation;2023 International Conference on Digital Applications, Transformation & Economy (ICDATE);2023-07-14

4. A point‐image fusion network for event‐based frame interpolation;IET Computer Vision;2023-07-10

5. MoveEnet: Online High-Frequency Human Pose Estimation with an Event Camera;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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