Improved image-based, full-field structural displacement measurement using template matching and camera calibration methods

校准 人工智能 摄像机切除 计算机科学 计算机视觉 匹配(统计) 流离失所(心理学) 领域(数学) 像素 结构健康监测 图像(数学) 位移场 桥(图论) 工程类 数学 结构工程 有限元法 统计 内科学 医学 纯数学 心理治疗师 心理学
作者
Kimiya Azimbeik,Seyed Hossein Mahdavi,Fayaz R. Rofooei
出处
期刊:Measurement [Elsevier BV]
卷期号:211: 112650-112650 被引量:32
标识
DOI:10.1016/j.measurement.2023.112650
摘要

Although the use of artificial-markers improves the performance of the image-based procedures, there is a problem with the access to their installation place. Moreover, increasing the accuracy and efficiency of the available methods for structural-health-monitoring (SHM) is an important issue in recent years. Therefore, the purpose of this study is to enhance the image-based, full-field displacement measurement using new template-matching and camera-calibration methods. Furthermore, considering practical methods to increase the number of pixels in the images, the possibility of using free markers and improving the camera-calibration methods are investigated. The suitability of the proposed procedures was experimentally evaluated using single-degree-of-freedom and multi-degrees-of-freedom structural models and a railway bridge as a realistic application of the introduced methods. The proposed techniques are independent of employing artificial-markers or checkerboards with marker-less calibration abilities. Also, the effectiveness of the proposed schemes lies in the acceptable accuracy, computational efficiency, and sufficient applicability for SHM problems.
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