AI RESEARCH
E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation
arXiv CS.CV
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ArXi:2604.08543v1 Announce Type: new Event cameras offer multiple advantages in monocular egocentric 3D human pose estimation from head-mounted devices, such as millisecond temporal resolution, high dynamic range, and negligible motion blur. Existing methods effectively leverage these properties, but suffer from low 3D estimation accuracy, insufficient in many applications (e.g., immersive VR/AR