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New system improves camera-to-mocap calibration for AR/VR and robotics

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new system for calibrating and verifying multi-camera setups with optical motion capture, specifically addressing challenges posed by fisheye lenses. The system enhances robustness against common errors like attachment variations and calibration drift, ensuring more reliable data for AR/VR, SLAM, and robotics applications. Experiments on Meta Quest 3 headsets demonstrated superior calibration performance and effective detection of degradation over time, with the system already integrated into production data collection pipelines. AI

IMPACT Improves data integrity for AR/VR, SLAM, and robotics, potentially enabling more robust AI training datasets.

RANK_REASON Academic paper detailing a new calibration and verification system for multi-camera motion capture.

Read on arXiv cs.CV →

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

New system improves camera-to-mocap calibration for AR/VR and robotics

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Academic paper detailing a new calibration and verification system for multi-camera motion capture.
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COVERAGE [2]

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

    Robust Camera-to-Mocap Calibration and Verification for Large-Scale Multi-Camera Data Capture

    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 ·

    Robust Camera-to-Mocap Calibration and Verification for Large-Scale Multi-Camera Data Capture

    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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