High-efficiency and high-accuracy digital image correlation for three-dimensional measurement
High-efficiency and high-accuracy digital image correlation for three-dimensional measurement
复制标题
高效、高精度数字图像相关三维测量
DOI：
10.1016/j.optlaseng.2014.05.013
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发表时间：
2015-02-01
影响因子：
4.6
通讯作者：
Zhang, Qingchuan
中科院分区：
文献类型：
--
作者：
Gao, Yue;Cheng, Teng;Zhang, Qingchuan
近年来，数字图像相关（DIC）的计算效率和测量精度变得越来越重要。对于三维DIC（3D-DIC），这些问题要严重得多。首先，采用了两个摄像机，这增加了计算量几倍。第二，由于视角的差异，左右图像之间必须进行的立体对应等同于非均匀变形，并且不能通过增加数码相机的采样频率来减弱。本文的工作主要集中在3D-DIC的效率和准确性。首次提出了二阶形状函数的逆合成高斯-牛顿算法（IC-GN（2））。由于它包含二阶位移梯度项，因此可以显著提高非均匀变形的测量精度，这通常比与IC-GN算法组合的一阶形状函数（IC-GN（1））高一阶，并且比与前向加性高斯-牛顿算法组合的二阶形状函数（FA-GN（2））快2倍。最后，基于IC-GN（1）和IC-GN（2）算法的特点，提出了一种高效、高精度的三维DIC测量策略。(C)2014爱思唯尔有限公司版权所有。
The computational efficiency and measurement accuracy of the digital image correlation (DIC) have become more and more important in recent years. For the three-dimensional DIC (3D-DIC), these issues are much more serious. First, there are two cameras employed which increases the computational amount several times. Second, because of the differences in view angles, the must-do stereo correspondence between the left and right images is equivalently a non-uniform deformation, and cannot be weakened by increasing the sampling frequency of digital cameras. This work mainly focuses on the efficiency and accuracy of 3D-DIC. The inverse compositional Gauss-Newton algorithm (IC-GN(2)) with the second-order shape function is firstly proposed. Because it contains the second-order displacement gradient terms, the measurement accuracy for the non-uniform deformation thus can be improved significantly, which is typically one order higher than the first-order shape function combined with the IC-GN algorithm (IC-GN(1)), and 2 times faster than the second-order shape function combined with the forward additive Gauss-Newton algorithm (FA-GN(2)). Then, based on the features of the IC-GN(1) and IC-GN(2) algorithms, a high-efficiency and high-accuracy measurement strategy for 3D-DIC is proposed in the end. (C) 2014 Elsevier Ltd. All rights reserved.