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Reconstruction of Sewer Shaft Profiles from Fisheye-Lens Camera Images

机译:从鱼眼镜头相机图像重建下水道井剖面

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摘要

In this paper we propose a robust image and sensor based approach for automatic 3d model acquisition of sewer shafts from survey videos captured by a downward-looking fisheye-lens camera while lowering it into the shaft. Our approach is based on Structure from Motion adjusted to the constrained motion and scene, and involves shape recognition in order to obtain the geometry of the scene appropriately. The approach has been implemented and applied successfully to the practical stage as part of a commercial software.
机译:在本文中,我们提出了一种基于图像和传感器的鲁棒方法,用于从下视鱼眼镜头相机捕获的勘测视频中自动将下水道竖井进行3d模型采集,同时将其降低到竖井中。我们的方法基于从“运动”调整为受约束的运动和场景的“结构”,并涉及形状识别,以便适当地获取场景的几何形状。该方法已实现并作为商业软件的一部分成功应用于实际阶段。

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