Image data for MF-SFF 3D reconstruction

Structural analysis of minuscule height objects holds paramount significance in fields such as industrial manufacturing and medical testing. Currently, 3D reconstruction method based on shape from focus (SFF) has emerged as an efficacious approach for acquiring submicron-level height change information. A novel multi-field SFF(MF-SFF) framework incorporates pulse-controlled continuous acquisition methods and parallel chain processing (PCP) strategy, effectively addressing challenges associated with minuscule height objects. The MF-SFF framework not only accomplishes high-precision and rapid 3D reconstruction but also demonstrates robust adaptability. It overcomes issues related to the rapid collection and processing of massive image data during the 3D reconstruction of objects. This is a image dataset for 3D reconstruction based on MF-SFF.

对微小高度对象的结構分析在工业制造和医学检测等领域具有至关重要的意义。目前，基于聚焦成像（SFF）的3D重建方法已成为获取亚微米级高度变化信息的有效途径。一种新型的多场SFF（MF-SFF）框架融合了脉冲控制连续采集方法和并行链式处理（PCP）策略，有效解决了微小高度对象相关挑战。MF-SFF框架不仅实现了高精度和快速的3D重建，还展现了强大的适应性。它克服了在对象3D重建过程中快速收集和处理大量图像数据所面临的问题。这是一个基于MF-SFF的3D重建图像数据集。