# Collimator-assisted high-precision calibration method for event cameras

arXiv: https://arxiv.org/abs/2512.16092 · HTML: https://mlsanity.com/paper/2512.16092/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 3 references that are in the map.
- First posted on arXiv 18 Dec 2025.

## Builds on (most cited first, 2 of 2)

- [Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve](https://mlsanity.com/paper/1912.02908/) (2019)
- [Camera Calibration using a Collimator System](https://mlsanity.com/paper/2409.20034/) (2024)

## Built on by (most cited first, 2 of 2)

- [Event-based high temporal resolution measurement of shock wave motion field](https://mlsanity.com/paper/2512.22474/) (2025)
- [Robust Subpixel Localization of Diagonal Markers in Large-Scale Navigation via Multi-Layer Screening and Adaptive Matching](https://mlsanity.com/paper/2601.08161/) (2026)

## Abstract (arXiv)

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.