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Calousel method calibrates non-overlapping multi-camera systems using rotation

Researchers have developed a new method called Calousel for calibrating multi-camera systems that do not have overlapping fields of view. This approach utilizes pure rotational motion and a single static calibration board, allowing all cameras to observe the same target sequentially without needing direct visual overlap. The method formulates the problem within a global optimization framework using a latent turntable frame and a 3D error on SE(3), demonstrating competitive accuracy on both controlled rigs and vehicle platforms. AI

IMPACT This method could improve the accuracy and usability of multi-camera systems in robotics and autonomous vehicles.

RANK_REASON This is a research paper detailing a novel method for a specific technical problem in robotics.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Calousel method calibrates non-overlapping multi-camera systems using rotation

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Gwanhyeong Song, Chaehyeon Song, Ayoung Kim ·

    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 …

  2. arXiv cs.CV TIER_1 English(EN) · Ayoung Kim ·

    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…