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Estimating Accurate Hand Pose in Camera Space with Vision Transformer
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 coupling reflects that the projections are jointly dete
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T11:20:31.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.