English(EN) Hydra: Marker-Free RGB-D Hand-Eye Calibration

Hydra方法实现了无标记手眼标定，精度有所提高

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了一种新的无标记手眼标定方法Hydra，该方法利用RGB-D成像和一种新颖的迭代最近点（ICP）算法。该方法在李代数上构建了一个鲁棒的点对面目标，实现了约90%的成功标定率，与现有方法相比，收敛速度更快，收敛时间更短。Hydra的精度有所提高，任务空间误差为5毫米，而经典方法的误差为7毫米，并且其相关的代码和数据集已开源。 AI

影响这种新的标定方法可以提高机器人系统在各种应用中的精度和效率。

排序理由该项目是一篇研究论文，详细介绍了一种新算法及其实验验证。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.CV TIER_1 English(EN) · Martin Huber, Huanyu Tian, Christopher E. Mower, Lucas-Raphael M\"uller, S\'ebastien Ourselin, Christos Bergeles, Tom Vercauteren · 2026-09-02 04:00

Hydra：无需标记的RGB-D手眼标定

arXiv:2504.20584v2 Announce Type: replace-cross Abstract: This work presents an RGB-D imaging-based approach to marker-free hand-eye calibration using a novel implementation of the iterative closest point (ICP) algorithm with a robust point-to-plane (PTP) objective formulated on …

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Hydra：无需标记的RGB-D手眼标定

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