Collimator-assisted high-precision calibration method for event cameras
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866908719886893056 |
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| author | Liu, Zibin Liang, Shunkun Guan, Banglei Tan, Dongcai Shang, Yang Yu, Qifeng |
| author_facet | Liu, Zibin Liang, Shunkun Guan, Banglei Tan, Dongcai Shang, Yang Yu, Qifeng |
| contents | Event cameras are a new type of brain-inspired visual sensor with advantages such as high dynamic range and high temporal resolution. The geometric calibration of event cameras, which involves determining their intrinsic and extrinsic parameters, particularly in long-range measurement scenarios, remains a significant challenge. To address the dual requirements of long-distance and high-precision measurement, we propose an event camera calibration method utilizing a collimator with flickering star-based patterns. The proposed method first linearly solves camera parameters using the sphere motion model of the collimator, followed by nonlinear optimization to refine these parameters with high precision. Through comprehensive real-world experiments across varying conditions, we demonstrate that the proposed method consistently outperforms existing event camera calibration methods in terms of accuracy and reliability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_16092 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Collimator-assisted high-precision calibration method for event cameras Liu, Zibin Liang, Shunkun Guan, Banglei Tan, Dongcai Shang, Yang Yu, Qifeng Computer Vision and Pattern Recognition Event cameras are a new type of brain-inspired visual sensor with advantages such as high dynamic range and high temporal resolution. The geometric calibration of event cameras, which involves determining their intrinsic and extrinsic parameters, particularly in long-range measurement scenarios, remains a significant challenge. To address the dual requirements of long-distance and high-precision measurement, we propose an event camera calibration method utilizing a collimator with flickering star-based patterns. The proposed method first linearly solves camera parameters using the sphere motion model of the collimator, followed by nonlinear optimization to refine these parameters with high precision. Through comprehensive real-world experiments across varying conditions, we demonstrate that the proposed method consistently outperforms existing event camera calibration methods in terms of accuracy and reliability. |
| title | Collimator-assisted high-precision calibration method for event cameras |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2512.16092 |