English(EN) Calousel: Extrinsic Calibration of Non-overlapping Multi-camera Systems from Pure Rotation

Calousel方法通过旋转标定非重叠多相机系统

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-24 09:54

研究人员开发了一种名为Calousel的新方法，用于标定没有重叠视场的多相机系统。该方法利用纯旋转运动和单个静态标定板，允许所有相机依次观察同一目标，而无需直接的视觉重叠。该方法在一个全局优化框架内，使用潜在的转盘框架和SE(3)上的3D误差来构建问题，并在受控设备和车辆平台上均被证明有效。 AI

影响该方法通过实现更精确的复杂相机设置标定，有望改进机器人感知系统。

排序理由该条目是一篇学术论文，详细介绍了一种新的相机标定方法。[lever_c_demoted from research: ic=1 ai=0.4]

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报道来源 [2]

arXiv cs.CV TIER_1 English(EN) · Gwanhyeong Song, Chaehyeon Song, Ayoung Kim · 2026-06-25 04:00

Calousel: Extrinsic Calibration of Non-overlapping Multi-camera Systems from Pure Rotation

arXiv:2606.25646v1 Announce Type: cross Abstract: Extrinsic calibration of multi-camera systems with non-overlapping FOVs has been a challenging problem in the robotics literature. Conventional target-based methods impose substantial target setup overhead, either deploying large …
arXiv cs.CV TIER_1 English(EN) · Ayoung Kim · 2026-06-24 09:54

Calousel: Extrinsic Calibration of Non-overlapping Multi-camera Systems from Pure Rotation

Extrinsic calibration of multi-camera systems with non-overlapping FOVs has been a challenging problem in the robotics literature. Conventional target-based methods impose substantial target setup overhead, either deploying large calibration targets or requiring pre-measured mult…