mlsanityData to 7 Oct 2026

Camera Calibration using a Collimator System

arXiv 2409.20034 ↗First posted 30 Sep 2024cs.CVcited by 9

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Abstract (arXiv)

Camera calibration is a crucial step in photogrammetry and 3D vision applications. In practical scenarios with a long working distance to cover a wide area, target-based calibration methods become complicated and inflexible due to site limitations. This paper introduces a novel camera calibration method using a collimator system, which can provide a reliable and controllable calibration environment for cameras with varying working distances. Based on the optical geometry of the collimator system, we prove that the relative motion between the target and camera conforms to the spherical motion model, reducing the original 6DOF relative motion to 3DOF pure rotation motion. Furthermore, a closed-form solver for multiple views and a minimal solver for two views are proposed for camera calibration. The performance of our method is evaluated in both synthetic and real-world experiments, which verify the feasibility of calibration using the collimator system and demonstrate that our method is superior to the state-of-the-art methods. Demo code is available at https://github.com/LiangSK98/CollimatorCalibration.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 6 of its 47 references that are in the map. First posted on arXiv 30 Sep 2024.

Builds on

6 of 47 references.

References · 6

  1. 2020ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAMcited by 862
  2. 2019Why Having 10,000 Parameters in Your Camera Model is Better Than Twelvecited by 43
  3. 2018Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertaintycited by 15
  4. 2021BabelCalib: A Universal Approach to Calibrating Central Camerascited by 14
  5. 2020Depth Sensing Beyond LiDAR Rangecited by 10
  6. 2016Structure from Motion on a Spherecited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 7; 2026: 2.

9 papers.