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AUTONOMOUS CHARACTERIZATION OF WATER FLOW FROM SURFACE WATER VELOCITY

机译:地表水流速对水流的自主表征

摘要

Embodiments relate to characterizing a water flow. Initially, a camera targeted at the water flow obtains images. An image pyramid is generated for each image, and a first level of each image pyramid is tiled at an initial scale to identify initial features. The initial features are matched across the first level of the image pyramids at a pixel-level to obtain a first set of feature displacements. A second level of each image pyramid is tiled at a decreased scale to identify a scaled set of features. The scaled features are matched across the second level of the image pyramids at the pixel-level to obtain a second set of feature displacements. Optical flow algorithms are applied to modify each feature displacement to account for a corresponding subpixel registration. A stereo reconstruction is applied to the feature displacements to generate a three dimensional (3D) displacement map.
机译:实施例涉及表征水流。最初,针对水流的相机获取图像。为每个图像生成图像金字塔,并且以初始比例平铺每个图像金字塔的第一级以识别初始特征。初始特征在像素级别跨图像金字塔的第一级进行匹配以获得第一组特征位移。每个图像金字塔的第二级以缩小的比例平铺以标识一组缩放的要素。缩放的特征在像素级别的图像金字塔的第二层上匹配,以获得第二组特征位移。应用光流算法来修改每个特征位移以说明相应的子像素配准。将立体重建应用于特征位移以生成三维(3D)位移图。

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