Photometric Stereo in Participating Media Using an Analytical Solution for Shape-Dependent Forward Scatter
Photometric Stereo in Participating Media Using an Analytical Solution for Shape-Dependent Forward Scatter
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DOI：
10.1109/tpami.2018.2889088
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发表时间：
2020-03-01
影响因子：
23.6
通讯作者：
Minoh, Michihiko
中科院分区：
文献类型：
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作者：
Fujimura, Yuki;Iiyama, Masaaki;Minoh, Michihiko
在浑浊的水、雾或烟雾等参与介质中捕获的图像会因散射光而退化。因此，在这样的环境中使用传统的三维（3D）重建技术是困难的。在本文中，我们提出了一个光度立体方法的参与媒体。所提出的方法不同于以往的研究方面的建模形状相关的前向散射。在该模型中，前向散射被描述为一个分析形式，使用查找表，并表示为空间变化的内核。我们还提出了一个近似的大规模密集矩阵作为稀疏矩阵，这使得前向散射的去除。我们讨论了所提出的方法使用合成数据的近似。通过对真实的数据的实验表明，该方法提高了参与介质的三维重建效果。
Images captured in participating media such as murky water, fog, or smoke are degraded by scattered light. Thus, the use of traditional three-dimensional (3D) reconstruction techniques in such environments is difficult. In this paper, we propose a photometric stereo method for participating media. The proposed method differs from prvious studies with respect to modeling shape-dependent forward scatter. In the proposed model, forward scatter is described as an analytical form using lookup tables and is represented by spatially-variant kernels. We also propose an approximation of a large-scale dense matrix as a sparse matrix, which enables the removal of forward scatter. We discuss the approximation in the proposed method using synthesized data. Then, experiments with real data demonstrate that the proposed method improves 3D reconstruction in participating media.