论文标题
SEM图像的微观结构表面重建：数字图像相关的替代方案（DIC）
Microstructure Surface Reconstruction from SEM Images: An Alternative to Digital Image Correlation (DIC)
论文作者
论文摘要
我们重建了经过疲劳测试并经历破裂的材料表面的3D模型。具体而言，我们从实验末端的样品的多个视图中重建表面深度（从平面侵入和挤出中）和侧面（平面内）运动，并在及时使用临时单视图图像的及时向后反向光流传播。这些测量值可以映射到材料应变张量，有助于理解材料寿命并预测故障。这种方法提供了常用数字图像相关（DIC）技术的替代方法，该技术依赖于跟踪应用于材料表面的斑点图案。 DIC仅产生平面内（2D）测量值，而我们的方法是3D，而无创（不需要对材料应用模式）。
We reconstruct a 3D model of the surface of a material undergoing fatigue testing and experiencing cracking. Specifically we reconstruct the surface depth (out of plane intrusions and extrusions) and lateral (in-plane) motion from multiple views of the sample at the end of the experiment, combined with a reverse optical flow propagation backwards in time that utilizes interim single view images. These measurements can be mapped to a material strain tensor which helps to understand material life and predict failure. This approach offers an alternative to the commonly used Digital Image Correlation (DIC) technique which relies on tracking a speckle pattern applied to the material surface. DIC only produces in-plane (2D) measurements whereas our approach is 3D and non-invasive (requires no pattern being applied to the material).
