English(EN) Rolling Shutter Camera Self-Calibration

新滚动快门相机自标定方法发布

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-04 04:00

研究人员开发了一种新颖的滚动快门（RS）相机自标定方法，无需标定目标或专用硬件。该新方法通过采用自标定捆绑调整技术，直接从图像序列中估计相机内参和读出时间比。该方法将两个现有的RS成像模型整合到一个统一的双投影模型中，增强了几何和时间一致性，以实现更精确的3D视觉应用。 AI

影响通过简化相机标定，实现更精确的3D视觉应用。

排序理由该集群包含一篇详细介绍滚动快门相机新自标定方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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本文如何被排名

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arXiv cs.CV TIER_1 English(EN) · Yongcong Zhang, Navid Rabbani, Bangyan Liao, Chengbo Wang, Yizhen Lao, Adrien Bartoli · 2026-08-04 04:00

滚动快门相机自标定

arXiv:2608.01509v1 Announce Type: new Abstract: Rolling shutter (RS) cameras are widely used in consumer devices, but their row-wise exposure causes distortions under motion, making geometric 3D vision problems dependent on both camera intrinsics and readout time ratio. Existing …