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Smart Structures and Systems
  Volume 28, Number 5, November 2021 , pages 661-673
DOI: https://doi.org/10.12989/sss.2021.28.5.661
 


Feature-based image stitching for panorama construction and visual inspection of structures
Kai Cheng, Jiazeng Shan and Yuwen Liu

 
Abstract
    This study presents a feature-based image stitching method with multi-level constraint criterion for panorama construction and visual inspection of building structures. The comparison of global view and local resolution over building exterior is discussed regarding practical implementation. An inspection-oriented methodology framework with optimized inlier distribution is designed for generating a feasible and reliable building panorama by using ordinary optic images. Two illustrative examples, including an earthquake-damaged masonry wall and a high-rise building with stone curtain walls, are experimentally investigated. The severely developed structural crack is fully mapped with stitched image and extracted in preparation for further quality evaluation. The curtain wall of the high-rise building is successfully constructed by using UAV-based images. The panorama quality is further compared with commercial stitching software and several improvements are illustrated in the particular case. In addition, the reliability of the proposed feature-based stitching approach is parametrically studied with different setups of input images.
 
Key Words
    computer vision; image stitching; multi-level constraint criterion; structural health monitoring; visual inspection
 
Address
(1) Kai Cheng, Jiazeng Shan, Yuwen Liu:
Department of Disaster Mitigation for Structures, Tongji University, Shanghai 200092, China;
(2) Jiazeng Shan:
Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China.
 

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