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3D motion estimation of bubbles of gas in fluid glass, using an optical flow gradient technique extended to a third dimension

机译:使用扩展到三维的光流梯度技术对流体玻璃中的气泡进行3D运动估计

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摘要

To solve the problem of estimating velocities of gas bubbles in melted glass, a method based on optical flow constraint (OFC) has been extended to the 3D case. A single camera, whose distance to the fluid is variable in time, is used to capture a sequence of frames at different depths. Since objects are not static, we cannot obtain two frames of different height values at the same time, and to our knowledge, this prevents the use of common 3D motion estimation techniques. Since the information will be rather sparse, our estimation takes several measures around a given pixel and discards the erroneous ones, using a robust estimator. Along with the exposition of the practical application, the estimation proposed here is first contrasted in the 2D case to common benchmarks and then evaluated for a synthetic problem where velocities are known.
机译:为了解决估计熔融玻璃中气泡速度的问题,基于光流约束(OFC)的方法已扩展到3D情况。到流体的距离随时间变化的单个摄像机用于捕获不同深度的帧序列。由于对象不是静态的,因此我们无法同时获得两个具有不同高度值的帧,并且据我们所知,这阻止了使用常见的3D运动估计技术。由于信息会比较稀疏,因此我们的估算会使用健壮的估算器在给定像素周围采取几种措施,并丢弃错误的措施。伴随着实际应用的阐述,这里提出的估计首先在2D情况下与通用基准进行对比,然后针对已知速度的综合问题进行评估。

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