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

Researchers have developed a novel 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 using a latent turntable frame and a 3D error on SE(3) within a global optimization framework, proving effective on both controlled rigs and vehicle platforms. AI

IMPACT This method could improve robotic perception systems by enabling more accurate calibration of complex camera setups.

RANK_REASON The item is an academic paper detailing a new method for camera calibration. [lever_c_demoted from research: ic=1 ai=0.4]

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…