Vision-Based Three-Dimensional Reconstruction and Monitoring of Large-Scale Steel Tubular Structures
المؤلفون المشاركون
Tang, Yunchao
Chen, Mingyou
Lin, Yunfan
Huang, Xueyu
Huang, Kuangyu
He, Yuxin
Li, Lijuan
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-18
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
A four-ocular vision system is proposed for the three-dimensional (3D) reconstruction of large-scale concrete-filled steel tube (CFST) under complex testing conditions.
These measurements are vitally important for evaluating the seismic performance and 3D deformation of large-scale specimens.
A four-ocular vision system is constructed to sample the large-scale CFST; then point cloud acquisition, point cloud filtering, and point cloud stitching algorithms are applied to obtain a 3D point cloud of the specimen surface.
A point cloud correction algorithm based on geometric features and a deep learning algorithm are utilized, respectively, to correct the coordinates of the stitched point cloud.
This enhances the vision measurement accuracy in complex environments and therefore yields a higher-accuracy 3D model for the purposes of real-time complex surface monitoring.
The performance indicators of the two algorithms are evaluated on actual tasks.
The cross-sectional diameters at specific heights in the reconstructed models are calculated and compared against laser rangefinder data to test the performance of the proposed algorithms.
A visual tracking test on a CFST under cyclic loading shows that the reconstructed output well reflects the complex 3D surface after correction and meets the requirements for dynamic monitoring.
The proposed methodology is applicable to complex environments featuring dynamic movement, mechanical vibration, and continuously changing features.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tang, Yunchao& Chen, Mingyou& Lin, Yunfan& Huang, Xueyu& Huang, Kuangyu& He, Yuxin…[et al.]. 2020. Vision-Based Three-Dimensional Reconstruction and Monitoring of Large-Scale Steel Tubular Structures. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1120764
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tang, Yunchao…[et al.]. Vision-Based Three-Dimensional Reconstruction and Monitoring of Large-Scale Steel Tubular Structures. Advances in Civil Engineering No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1120764
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tang, Yunchao& Chen, Mingyou& Lin, Yunfan& Huang, Xueyu& Huang, Kuangyu& He, Yuxin…[et al.]. Vision-Based Three-Dimensional Reconstruction and Monitoring of Large-Scale Steel Tubular Structures. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1120764
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1120764
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر