OCULAR实现连续颗粒流的三维动态成像，解决传统二维分析误差问题。
Automated Dynamic Image Analysis for Particle Size and Shape Classification in Three Dimensions
- 通过同步光学相机阵列捕捉颗粒流动态三维图像
- 三维重建精度接近微米级X射线断层扫描结果
- 适合材料、地质等领域需精准颗粒表征的研究者
我们提出OCULAR，一种用于细颗粒三维动态图像分析的软硬件一体化解决方案。现有动态图像分析设备多局限于二维成像，而大量文献表明，仅依赖单一二维投影进行颗粒表征易产生误差。现有三维成像技术如计算机断层扫描、激光扫描和正射摄影，均限于静态物体，缺乏统计代表性，且后处理复杂，需专用成像与计算资源。OCULAR通过同步光学相机阵列，实现对连续颗粒流的低成本三维动态成像，基于三维表面重建完成颗粒形状表征。本文详述了OCULAR方法，评估其可重复性，并与X射线微计算机断层扫描结果对比，验证其在高效可靠颗粒分析中的潜力。
原文摘要 · Abstract (English)
We introduce OCULAR, an innovative hardware and software solution for three-dimensional dynamic image analysis of fine particles. Current state-of-the art instruments for dynamic image analysis are largely limited to two-dimensional imaging. However, extensive literature has demonstrated that relying on a single two-dimensional projection for particle characterisation can lead to inaccuracies in many applications. Existing three-dimensional imaging technologies, such as computed tomography, laser scanning, and orthophotography, are limited to static objects. These methods are often not statistically representative and come with significant post-processing requirements, as well as the need for specialised imaging and computing resources. OCULAR addresses these challenges by providing a cost-effective solution for imaging continuous particle streams using a synchronised array of optical cameras. Particle shape characterisation is achieved through the reconstruction of their three-dimensional surfaces. This paper details the OCULAR methodology, evaluates its reproducibility, and compares its results against X-ray micro computed tomography, highlighting its potential for efficient and reliable particle analysis.
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