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Considering Spherical Refraction in Visual Ocean Gas Release Quantification

机译：考虑到视觉海洋气体释放量化的球面折射

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摘要

Compared to traditional gas flow quantification methods, the stereo vision system has some advantages. However, underwater vision systems usually suffer from light refraction which can degrade the measurement accuracy from images. Cameras centered in spherical glass housings, dome ports, can theoretically avoid refraction, but misalignments in the dome create even more complex refraction effects than cameras behind flat glass windows. This paper introduces the spherical refraction model into a stereo vision gas flow quantification system. Also, this paper adds some contributions to an existing bubble quantification workflow for bubble size histogram and bubble volume estimation. First, the spherical glass dome port and the light propagation are modeled, and then the camera system is calibrated via underwater/in-air image pairs. Afterwards, the Epipolar Geometry Constraint is used to optimize the bubble matching. For volume estimation, an ellipsoid triangulation method is employed to improve ellipsoidal volume estimation. According to the calibration experiments and control experiments, the results show that the stereo vision gas flow quantification system can produce the volume of gas release accurately, which satisfies the requirements of long-term gas release monitoring in marine science.
机译：与传统气流量化方法相比，立体视觉系统具有一些优点。然而，水下视觉系统通常遭受光折射，这可能会降低图像的测量精度。以球形玻璃外壳为中心，圆顶港口的摄像机可以理论上避免折射，但圆顶的错位，比平板玻璃窗背后的相机产生更复杂的折射效果。本文将球面折射模型介绍到立体视觉气体流量量化系统中。此外，本文对用于泡沫尺寸直方图和气泡体积估计的现有气泡量化工作流程增加了一些贡献。首先，对球形玻璃圆顶端口和光传播进行建模，然后通过水下/内部图像对校准相机系统。之后，使用ePipolar几何约束来优化气泡匹配。对于体积估计，采用椭球三角测量方法来改善椭圆体积估计。根据校准实验和对照实验，结果表明，立体视觉气流量化系统可以精确地生产气体释放量，这满足了海洋科学中长期气体释放监测的要求。

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