Event-based chessboard scanning profilometry

Bao, Qingkang; Ren, Dewu; He, Fuyang; Piano, Samanta; Zhang, Chunwei; Zhao, Hong

Abstract

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.

Citation

Bao, Q., Ren, D., He, F., Piano, S., Zhang, C., & Zhao, H. (2025). Event-based chessboard scanning profilometry. Optics and Lasers in Engineering, 186, Article 108765. https://doi.org/10.1016/j.optlaseng.2024.108765

• Journal Article Type: Article
• Acceptance Date: Dec 9, 2024
• Online Publication Date: Dec 16, 2024
• Publication Date: 2025-03
• Deposit Date: Dec 18, 2024
• Publicly Available Date: Dec 17, 2025
• Journal: Optics and Lasers in Engineering
• Print ISSN: 0143-8166
• Electronic ISSN: 1873-0302
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 186
• Article Number: 108765
• DOI: https://doi.org/10.1016/j.optlaseng.2024.108765
• Keywords: Event camera, Structured light, 3D measurement, Chessboard scanning, Edge scanning
• Public URL: https://nottingham-repository.worktribe.com/output/43093698
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0143816624007450?via%3Dihub