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Italiano(IT) Robust Camera-to-Mocap Calibration and Verification for Large-Scale Multi-Camera Data Capture

新系统改进了AR/VR和机器人领域的摄像头到动作捕捉校准

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一个新的系统，用于校准和验证带有光学动作捕捉的多摄像头设置，特别解决了鱼眼镜头带来的挑战。该系统提高了对常见错误（如附件变化和校准漂移）的鲁棒性，确保了AR/VR、SLAM和机器人应用的更可靠数据。在Meta Quest 3头显上进行的实验证明了其卓越的校准性能和有效检测随时间退化的能力，该系统已集成到生产数据采集流程中。 AI

影响 提高了AR/VR、SLAM和机器人领域的数据完整性，可能支持更鲁棒的AI训练数据集。

排序理由 学术论文，详细介绍了用于多摄像头动作捕捉的新校准和验证系统。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新系统改进了AR/VR和机器人领域的摄像头到动作捕捉校准

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学术论文，详细介绍了用于多摄像头动作捕捉的新校准和验证系统。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 Italiano(IT) · Tianyi Liu, Christopher Twigg, Patrick Grady, Kevin Harris, Shangchen Han, Kun He ·

    用于大规模多相机数据采集的鲁棒相机到动作捕捉校准与验证

    arXiv:2604.22118v1 Announce Type: new Abstract: Optical motion capture (mocap) systems are widely used for ground-truth capture in AR/VR, SLAM and robotics datasets. These datasets require extrinsic calibration to align mocap coordinates to external camera frames -- a step that i…

  2. arXiv cs.CV TIER_1 Italiano(IT) · Kun He ·

    面向大规模多相机数据采集的鲁棒相机到动作捕捉校准与验证

    Optical motion capture (mocap) systems are widely used for ground-truth capture in AR/VR, SLAM and robotics datasets. These datasets require extrinsic calibration to align mocap coordinates to external camera frames -- a step that is subject to multiple sources of error in practi…

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