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Event-based chessboard scanning profilometry
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DOI：10.1016/j.optlaseng.2024.108765.png)
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Abstract
En 中文
Event-based structured light profilometry shows great promise for three-dimensional (3D) shape measurement. However, existing methods face limitations in sampling efficiency. To address these limitations, an event-based chessboard scanning method for 3D shape measurement is proposed. It achieves orthogonal multi-edge scanning with a chessboard pattern sequence, leveraging the advantage of edge scanning over line scanning to reduce redundant sampling. Additionally, it facilitates the simultaneous indexing of multiple event lines through event- phase mapping and phase unwrapping. Furthermore, event drift is investigated and an energy flow sub-pixel compensation algorithm is proposed to mitigate its effects. Experimental results validate the satisfactory accuracy of the proposed method and demonstrate its efficacy and robustness in measuring objects with complex shapes in both static and dynamic scenarios.
Keywords:
Event camera
Structured light
3D measurement
Chessboard scanning
Edge scanning
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