RECORD
Camera Calibration using a Collimator System
Computer Vision and Pattern Recognition · Submitted 30 Sep 2024
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim 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.
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The abstract, sentence by sentence
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.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Camera calibration is a crucial step in photogrammetry and 3D vision applications. | background 1.00 | 0.04 | 0.02 | asserted 1.00 |
| s1 | 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. | background 0.82 | 0.09 | 0.02 | asserted 1.00 |
| s2 | 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. | contribution 0.99 | 0.79 | 0.29 | asserted 0.87 |
| s3 | 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. | method 0.75 | 0.95 | 0.10 | asserted 1.00 |
| s4 | Furthermore, a closed-form solver for multiple views and a minimal solver for two views are proposed for camera calibration. | method 0.50 | 0.95 | 0.07 | asserted 1.00 |
| s5 | 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. | result 0.97 | 0.96 | 0.72 | asserted 1.00 |
| s6 | Demo code is available at https://github.com/LiangSK98/CollimatorCalibration. | contribution 0.62 | 0.42 | 0.02 | asserted 0.97 |
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The paper
Original abstract
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.
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