Feature matching for automated and reliable initialization in three-dimensional digital image correlation
Feature matching for automated and reliable initialization in three-dimensional digital image correlation
复制标题
三维数字图像相关中自动可靠初始化的特征匹配
DOI：
10.1016/j.optlaseng.2012.10.011
复制
发表时间：
2013-03
影响因子：
4.6
通讯作者：
Yan Qiu Chen
中科院分区：
文献类型：
--
作者：
Yihao Zhou;Yan Qiu Chen
在三维数字图像相关（3D-DIC）中，对应的位置必须在一对图像中跨时间或跨相机匹配。最有效的方法是通过使用迭代算法（Newton-Raphson或Levenberg-Marquardt）来优化相关强度的相关性。然而，迭代优化需要对未知参数进行精确的初始猜测。因此，我们提出了一种自动和可靠的初始化方法，利用图像特征匹配。首先在图像中检测具有高重复性的特征点，并且每个特征的特征在于对常见图像变换不敏感的描述符。然后基于描述符相似性和几何约束在图像之间匹配特征。感兴趣的点的变形参数最初从拟合到子集区域内的匹配特征的仿射变换来估计。模拟实验结果表明，所提出的初始化是足够准确的，以使后续的优化正确收敛，在刚性运动和异质变形的标本和变化的相机视点的存在。实验结果也验证了该方法在3D-DIC中的时间匹配和立体匹配的准确性和鲁棒性。
In three-dimensional digital image correlation (3D-DIC), corresponding locations must be matched in a pair of images either across time or across cameras. The most effective approach is to optimize the correlation of the related intensities by using iterative algorithm (Newton–Raphson or Levenberg–Marquardt). However, the iterative optimization requires accurate initial guess of the unknown parameter. We hereby present an automated and reliable initialization method which utilizes image feature matching. Feature points are first detected in the images with high repeatability and each feature is characterized by a descriptor which is insensitive to common image transformations. The features are then matched across images based on the descriptor similarity and a geometric constraint. The deformation parameter of a point of interest is initially estimated from the affine transformation fitted to the matched features inside the subset area. Experimental results on simulations show that the proposed initialization is sufficiently accurate to enable correct convergence of the subsequent optimization, in the presence of rigid motion and heterogeneous deformation of the specimen and variation in camera viewpoint. The performances on real-world experiments also verify the accuracy and robustness of the method in both temporal matching and stereo matching in 3D-DIC.
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影响因子：
4.6
作者：
Tang, Zhengzong;Liang, Jin;Xiao, Zhenzhong;Guo, Cheng
通讯作者：
Guo, Cheng
DOI：
10.1023/b:visi.0000029664.99615.94
发表时间：
2004-11-01
影响因子：
19.5
作者：
Lowe, DG
通讯作者：
Lowe, DG
DOI：
10.1007/b98874
发表时间：
2018-09
期刊：
--
影响因子：
--
作者：
J. Nocedal;Stephen J. Wright
通讯作者：
J. Nocedal;Stephen J. Wright
影响因子：
1.9
作者：
F. Hild;B. Raka;M. Baudequin;S. Roux;F. Cantelaube
通讯作者：
F. Hild;B. Raka;M. Baudequin;S. Roux;F. Cantelaube
DOI：
10.1109/tpami.2005.188
发表时间：
2005-10-01
影响因子：
23.6
作者：
Mikolajczyk, K;Schmid, C
通讯作者：
Schmid, C