Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion
Distortion-Free Image Mosaicing for Tunnel Inspection Based on Robust Cylindrical Surface Estimation through Structure from Motion
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DOI：
10.1061/(asce)cp.1943-5487.0000516
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发表时间：
2016-05-01
影响因子：
6.9
通讯作者：
Soga, Kenichi
中科院分区：
文献类型：
--
作者：
Chaiyasarn, Krisada;Kim, Tae-Kyun;Soga, Kenichi
目视检查虽然劳动密集型，成本高，不准确，但在地下隧道的状态评估中使用，以确保安全性和可用性，是一种常见的做法。本文提出了一种系统，可以构建一个马赛克图像的隧道表面失真小，允许大面积的隧道可视化，并使隧道检查进行离线。该系统通过运动恢复结构（SFM）对隧道表面进行鲁棒估计来消除失真，这可以从未校准的图像创建隧道表面的3D点云。SFM使镶嵌系统能够科普具有一般相机运动的图像，与仅能够科普严格的相机运动的标准镶嵌软件形成对比。利用支持向量机（SVM）去除点云中的噪声，进一步提高了隧道曲面的估计精度。当使用不准确的表面进行镶嵌时，在镶嵌中观察到一些曲率，而使用所提出的方法估计的来自表面的镶嵌几乎是无失真的，保留了所有物理属性，例如，直线平行度和直线度，这对隧道检测很重要。(C)2015年美国土木工程师协会。
Visual inspection, although labor-intensive, costly, and inaccurate, is a common practice used in the condition assessment of underground tunnels to ensure safety and serviceability. This paper presents a system that- can construct a mosaic image of a tunnel surface with little distortion, allowing a large area of tunnels to be visualized, and enabling tunnel inspection to be carried out off-line. The system removes distortion by a robust estimation of a tunnel surface through structure from motion (SFM), which can create a 3D point cloud of the tunnel surface from uncalibrated images. SFM enables the mosaicing system to cope with images with a general camera motion, in contrast to standard mosaicing software that can cope only with a strict camera motion. The estimation of the tunnel surface is further improved by support vector machine (SVM), which is used to remove noise in the point cloud. Some curvatures are observed in the mosaics when an inaccurate surface is used for mosaicing, whereas the mosaics from a surface estimated using the proposed method are almost distortion-free, preserving all physical attributes, e.g.,line parallelism and straightness, which is important for tunnel inspection. (C) 2015 American Society of Civil Engineers.