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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
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Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata
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FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras.

Lan Xu, Yebin Liu, Wei Cheng

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    This study introduces FlyCap, a markerless motion capture system using autonomous flying cameras (UAVs) for non-intrusive 3D surface motion tracking. The system achieves plausible reconstruction of character movements in large spaces.

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    Area of Science:

    • Computer Vision
    • Robotics
    • Computer Graphics

    Background:

    • Marker-based motion capture is intrusive and limits movement.
    • Existing markerless systems often struggle with large-scale, unconstrained motion.

    Purpose of the Study:

    • To develop an automatic, convenient, and non-intrusive markerless motion capture system.
    • To enable capture of surface motions for characters performing large-scale movements.

    Main Methods:

    • Utilized multiple autonomous unmanned aerial vehicles (UAVs) equipped with RGBD cameras.
    • Developed a novel non-rigid surface registration method for fusing depth data from multiple viewpoints.
    • Integrated visual-odometry from UAVs and employed a Gaussian-Newton method for pose estimation and surface tracking.

    Main Results:

    • Demonstrated plausible surface and motion reconstruction of moving characters.
    • Successfully tracked and fused depth data from cooperative flying cameras.
    • Achieved automatic tracking and following of a target performing large-scale motions.

    Conclusions:

    • The FlyCap system offers a novel solution for markerless motion capture.
    • Autonomous flying cameras provide a flexible platform for capturing complex character motions.
    • The proposed registration and tracking methods are effective for 3D surface reconstruction.