Variational optical flow estimation for particle image velocimetry
Variational optical flow estimation for particle image velocimetry
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DOI：
10.1007/s00348-004-0880-5
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发表时间：
2005
影响因子：
2.4
通讯作者：
Paul Ruhnau;Timo Kohlberger;C. Schnörr;H. Nobach
中科院分区：
文献类型：
--
作者：
Paul Ruhnau;Timo Kohlberger;C. Schnörr;H. Nobach
我们引入了一类新颖的算法来评估 PIV 图像对。数学基础是用于全局估计整个图像上的光流矢量场的连续变分公式。此类方法在图像处理和计算机视觉领域已为人所知已有二十多年，但迄今为止显然尚未应用于 PIV 图像对。我们特别关注图像数据的多尺度表示，以应对粒子图像对的非常具体的信号结构。实验评估表明，原型变分方法在嘈杂的现实场景中与专为 PIV 序列评估而设计的三种替代方法相竞争。我们概述了变分法进一步发展的潜力。
We introduce a novel class of algorithms for evaluating PIV image pairs. The mathematical basis is a continuous variational formulation for globally estimating the optical flow vector fields over the whole image. This class of approaches has been known in the field of image processing and computer vision for more than two decades but apparently has not been applied to PIV image pairs so far. We pay particular attention to a multi-scale representation of the image data so as to cope with the quite specific signal structure of particle image pairs. The experimental evaluation shows that a prototypical variational approach competes in noisy real-world scenarios with three alternative approaches especially designed for PIV-sequence evaluation. We outline the potential of the variational method for further developments.