Abstract Over the past years, we have been developing new algorithms and approaches for robust, efficient and accurate internal displacement and strain field measurements using digital volume correlation (DVC). This paper will summarize our recent work on the following four major aspects: (a) advanced three-dimensional inverse-compositional Gauss-Newton (3D IC-GN) algorithm for subvoxel registration with enhanced accuracy and efficiency; (b) self-adaptive DVC algorithm with optimal calculation parameters; (c) practical and effective strategies for DVC analyses of high-resolution volumetric images and deformed volumetric images encoded with large deformation; (d) quantitative analysis and correction of thermal errors in DVC measurements due to self-heating effect of X-ray CT scanners. We hope that this paper can guide the readers to know the state-of-art DVC method.

中文翻译：

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数字音量相关的一些最新进展

摘要 在过去的几年里，我们一直在开发新的算法和方法，用于使用数字体积相关 (DVC) 进行稳健、高效和准确的内部位移和应变场测量。本文将总结我们最近在以下四个主要方面的工作： (a) 用于亚体素配准的先进三维逆合成高斯-牛顿 (3D IC-GN) 算法，具有更高的准确性和效率；(b) 具有最优计算参数的自适应DVC算法；(c) 对高分辨率体积图像和大变形编码的变形体积图像进行 DVC 分析的实用且有效的策略；(d) 由于 X 射线 CT 扫描仪的自热效应，对 DVC 测量中的热误差进行定量分析和校正。