研究人员开发了ScaleHP，一个在度量空间中估计手部姿态的新框架，解决了现有方法仅能预测相对于根坐标系姿态的局限性。ScaleHP利用人手骨骼的内在比例关系作为人体测量学先验来推断度量尺度。该系统使用带有专用尺度令牌的基于Transformer的解码器来融合多尺度特征，并在FreiHand、DexYCB和HO3Dv3等基准测试中取得了最先进的性能。 AI
影响 通过实现度量尺度手部姿态估计，提高了人机交互和机器人技术的准确性。
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arXiv:2606.25619v1 Announce Type: new Abstract: Accurate metric-space hand pose estimation (HPE) is essential for immersive human-computer interaction and robotics. However, most existing methods predict poses in a root-relative coordinate system and cannot estimate the hand in a…
Accurate metric-space hand pose estimation (HPE) is essential for immersive human-computer interaction and robotics. However, most existing methods predict poses in a root-relative coordinate system and cannot estimate the hand in absolute metric scale. In this work, we observe t…