Using the optical flow model to process the image motion is a good method. This paper presents the basic theory and approach to calculating image motion by using the optical flow model.
光流模型是处理运动图像的有效方法，本文介绍了用光流模型计算运动图像参数的基本原理和步骤。
Based on the detail analysis of optical flow model, a robust multi-resolution estimation approach of optical flow is proposed, and some practical problems are also discussed on target detection.
该文在分析光流模型约束条件的基础上，提出了一种鲁棒的多分辨率光流估计方法，并对光流应用于目标检测的一些实际问题进行了探讨。
The factors, which introduce the error of temporal differential estimation are, analyzed. The successive approximation calculation model for the optical flow estimation is put forward.
分析了光流计算中产生时域微分估计误差的各种因素，提出了光流的逐次逼近计算模型。
It's necessary to recognize the different vortices, when aero-optical distortion caused by hypersonic flow is studied using vortex structure as the turbulence model.
利用涡结构对光波通过高速流场的光学传输特性进行建模，就必须进行涡结构的识别。
The engineering model for optical transmitting characteristics of flow is built up and empirical model for optical imaging system induced by aero-optic transmitting effects is described.
气动光学传输效应对飞行器光学成像探测系统的性能有着十分重要的影响，它使探测器接受的图像产生偏移、抖动和模糊。
A new model based global motion estimation method is proposed by fitting optical flow field for aerial video imagery.
在多分辨率光流估算的基础上，提出了一种基于光流拟和的方法用于对航拍视频图像中的全局运动进行估算。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
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