流量(数学)
光流
流体力学
湍流
物理
粒子图像测速
流速
圆柱绕流势流
赫尔肖流
机械
计算
欧拉方程
经典力学
明渠流量
计算机科学
算法
图像(数学)
热力学
人工智能
作者
Tianshu Liu,Lixin Shen
标识
DOI:10.1017/s0022112008003273
摘要
The connection between fluid flow and optical flow is explored in typical flow visualizations to provide a rational foundation for application of the optical flow method to image-based fluid velocity measurements. The projected-motion equations are derived, and the physics-based optical flow equation is given. In general, the optical flow is proportional to the path-averaged velocity of fluid or particles weighted with a relevant field quantity. The variational formulation and the corresponding Euler–Lagrange equation are given for optical flow computation. An error analysis for optical flow computation is provided, which is quantitatively examined by simulations on synthetic grid images. Direct comparisons between the optical flow method and the correlation-based method are made in simulations on synthetic particle images and experiments in a strongly excited turbulent jet.
科研通智能强力驱动
Strongly Powered by AbleSci AI