水下图像的运动折射结构

Anne Jordt, R. Koch
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引用次数: 70

摘要

在水下环境中,相机需要被限制在水下的外壳中,通过一块玻璃观察场景。在平口水下外壳的情况下,由于水、玻璃和空气的不同介质密度,进入相机外壳的光线被折射两次。这导致通常的线性光线弯曲,常用的针孔相机模型无效。在运动成结构(SfM)方法中,当使用针孔相机模型而没有明确地对折射进行建模时,会产生系统的模型误差。因此,在本文中,我们提出了一种计算相机路径和3D点的系统,并使用新的姿态估计方法显式地结合折射。此外,还引入了新的误差函数用于非线性优化,特别是束平差。所提出的方法可以提高重建精度,并在一组实验中进行了评估,其中所提出的方法的性能与带有透视相机模型的SfM进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refractive Structure-from-Motion on Underwater Images
In underwater environments, cameras need to be confined in an underwater housing, viewing the scene through a piece of glass. In case of flat port underwater housings, light rays entering the camera housing are refracted twice, due to different medium densities of water, glass, and air. This causes the usually linear rays of light to bend and the commonly used pinhole camera model to be invalid. When using the pinhole camera model without explicitly modeling refraction in Structure-from-Motion (SfM) methods, a systematic model error occurs. Therefore, in this paper, we propose a system for computing camera path and 3D points with explicit incorporation of refraction using new methods for pose estimation. Additionally, a new error function is introduced for non-linear optimization, especially bundle adjustment. The proposed method allows to increase reconstruction accuracy and is evaluated in a set of experiments, where the proposed method's performance is compared to SfM with the perspective camera model.
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