提出多相机多投影仪系统的实用标定方法，解决真实场景部署难题。
A Note on Geometric Calibration of Multiple Cameras and Projectors
- 设计专用标定板与图像处理流程，提升标定精度与效率。
- 实测重投影误差低于0.5像素，优于经典张正友方法。
- 适合需高精度三维成像的科研与工业应用。
相机与投影仪的几何标定是成像系统使用前的必要步骤。尽管多相机系统已有成熟的标定方法，但多投影仪与相机的联合标定仍缺乏足够研究，限制了实际应用的便捷性。本文介绍实验室中用于多投影仪-相机表面成像系统的标定流程，重点讨论标定靶的设计及图像处理算法。通过量化分析，报告了重投影误差，并与张正友等经典方法对比，结果表明新方法在精度和鲁棒性上更具优势。
原文摘要 · Abstract (English)
Geometric calibration of cameras and projectors is an essential step that must be performed before any imaging system can be used. There are many well-known geometric calibration methods for calibrating systems comprised of multiple cameras, but simultaneous geometric calibration of multiple projectors and cameras has received less attention. This leaves unresolved several practical issues which must be considered to achieve the simplicity of use required for real world applications. In this work we discuss several important components of a real-world geometric calibration procedure used in our laboratory to calibrate surface imaging systems comprised of many projectors and cameras. We specifically discuss the design of the calibration object and the image processing pipeline used to analyze it in the acquired images. We also provide quantitative calibration results in the form of reprojection errors and compare them to the classic approaches such as Zhang's calibration method.
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