arXiv Artificial Intelligence

Estimating Accurate Hand Pose in Camera Space with Vision Transformer

2 hours ago 23.09.2026 07:00 👁 1 views
Estimating Accurate Hand Pose in Camera Space with Vision Transformer

Quick summary

arXiv:2609.24424v2 Announce Type: cross Abstract: Monocular RGB-based hand pose estimation has emerged as a critical research frontier in computer vision. The local hand pose estimation methods predict hand poses relative to the wrist, while global hand pose estimation also requires estimating the wrist's position in the camera coordinate system. However, this camera-space estimation confronts two fundamental challenges: (1) depth ambiguity in monocular settings, and (2) the coupling effect of hand local poses and global wrist positions in the perspective projections. In particular, this coupl

Key takeaways

  • arXiv:2609.24424v2 Announce Type: cross Abstract: Monocular RGB-based hand pose estimation has emerged as a critical research frontier in computer vision.
  • The local hand pose estimation methods predict hand poses relative to the wrist, while global hand pose estimation also requires estimating the wrist's position in the camera coordinate system.
  • However, this camera-space estimation confronts two fundamental challenges: (1) depth ambiguity in monocular settings, and (2) the coupling effect of hand local poses and global wrist positions in the perspective projections.

Why it matters

The value of this work lies as much in how it was tested as in the claim itself. Sample design, baselines, uncertainty and replication help separate a laboratory result from real-world impact.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗