斑点图案
计算机科学
人工智能
散斑噪声
计算机视觉
光学
数字图像相关
散斑成像
数字图像处理
图像处理
模式识别(心理学)
图像(数学)
物理
作者
xiangyun ren,Xiangyang Xu,Fang Yuan,Zhuoyi Yin,Xiaoyuan He
出处
期刊:Applied Optics
[The Optical Society]
日期:2022-08-16
卷期号:61 (24): 7181-7181
被引量:1
摘要
Digital image correlation (DIC) has been widely used in both experimental mechanics and engineering fields. The matching algorithm of the DIC method usually requires surfaces containing a random speckle pattern as a deformation information carrier. The speckle pattern plays an irreplaceable role in DIC, which has led to extensive research on it. However, most previous research had always focused on the fabrication and computational performance of the speckle, ignoring the value of intentionally defining the meaning of speckle in design. In this study, we describe a novel, to the best of our knowledge, speckle pattern named semantic speckle. It is a digital speckle composed of several different speckle patterns with similar characteristics. Based on the deep-learning method and matching algorithm, the central location of the semantic part in the overall speckle image can be obtained automatically. Through the intentional definition of the semantic part, it can be possible to calibrate the camera parameters and correct the external parameters of the DIC systems.
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