用一张图生成校准点，让3D单像素成像更精准
Calibration of 3D Single-pixel Imaging Systems with a Calibration Field
- 构建校准场，仅需一张图像即可生成标准参考点
- 结合深度学习与数字孪生，校准精度显著提升
- 适合需要高精度校准的3D成像系统研究者
3D单像素成像（SPI）是一种可灵活应用于多种波段的成像技术。其主要挑战在于校准通常需要大量标准参考点，而单像素探测器难以捕捉这些点。传统方法依赖复杂的设备部署和繁琐操作，往往需要数百张图像完成校准。本文提出一种校准场（CaliF），通过单一图像高效生成标准点。利用深度学习与数字孪生技术保障校准场的高精度。实验验证了该方法的有效性与准确性。本工作在3D SPI系统乃至通用成像系统中具有广阔应用前景。
原文摘要 · Abstract (English)
3D single-pixel imaging (SPI) is a promising imaging technique that can be ffexibly applied to various wavebands. The main challenge in 3D SPI is that the calibration usually requires a large number of standard points as references, which are tricky to capture using single-pixel detectors. Conventional solutions involve sophisticated device deployment and cumbersome operations, resulting in hundreds of images needed for calibration. In our work, we construct a Calibration Field (CaliF) to efffciently generate the standard points from one single image. A high accuracy of the CaliF is guaranteed by the technique of deep learning and digital twin. We perform experiments with our new method to verify its validity and accuracy. We believe our work holds great potential in 3D SPI systems or even general imaging systems.
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