Flexible Camera Calibration using a Collimator System

TL;DR

This paper presents a novel camera calibration method using a specially designed collimator system that simplifies the process by exploiting optical geometry and spherical motion constraints, enabling flexible, fast, and accurate calibration.

Contribution

The paper introduces a new collimator-based calibration approach with angle invariance constraints and closed-form solutions, improving flexibility and efficiency over existing methods.

Findings

Method is effective in synthetic and real-world tests.

Proposed algorithms outperform baseline calibration techniques.

Single-image calibration eliminates need for camera motion.

Abstract

Camera calibration is a crucial step in photogrammetry and 3D vision applications. This paper introduces a novel camera calibration method using a designed collimator system. Our collimator system provides a reliable and controllable calibration environment for the camera. Exploiting the unique optical geometry property of our collimator system, we introduce an angle invariance constraint and further prove that the relative motion between the calibration target and camera conforms to a spherical motion model. This constraint reduces the original 6DOF relative motion between target and camera to a 3DOF pure rotation motion. Using spherical motion constraint, a closed-form linear solver for multiple images and a minimal solver for two images are proposed for camera calibration. Furthermore, we propose a single collimator image calibration algorithm based on the angle invariance constraint. This algorithm eliminates the requirement for camera motion, providing a novel solution for flexible and fast 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 existing baseline methods. Demo code is available at https://github.com/LiangSK98/CollimatorCalibration