Based on the optical flow axis conception , we present the cause of the limitation of the transition base video synthesis method and explain why gradually changed based method is better than it is 依据基于光流轴的视觉连贯性理论，对比了基于跳变的合成方法和基于渐变的合成方法在视觉连贯性上的差异。
In order to improve the algorithm , a algorithm integrating with optic flow is presented by introducing the theory of estimating motion between video frames by optic flow 为了提高匹配速度，引入了光流法估计视频图像帧间运动的思想，提出了综合光流法和基于归一化积相关和高斯塔形分解的配准算法的匹配定位方法。
We present an algorithm of motion without movement to simulate swaying of aquatic in water , and improve the image quality of the motion aiming at the damage to the image quality 我们采用基于图像相位变化的动画算法，结合光流场两幅图像之间实现动画，针对算法对图像质量的损害，对图像后期处理，提高了动画的图像质量。
Afterwards , to decrease noise which is brought by complex background , the method of morphological filter is used . planar velocity field in the moving area can be estimated through optical flow analysis 在第一步检测的基础上,应用经过了部分改进的光流场算法,比较精确地提取出运动目标,并计算出目标的速度大小和方向。
( 3 ) realize some algorithm like preprocessing , sample match , hough transform , optic flow computation , corner detect based on gpu . its running time is less than cpu and it can be achieved real time computation in some way ( 3 )针对具体的算法(预处理、模板匹配、 hough变换、光流计算、角点检测) ,设计了其相应的gpu软件实现。
Much research has been done on the estimation of optical flow , however , most of the research is tested using the image sequences formed by visible light , and seldom infrared images sequences 目前，国内外对光流计算方法研究的比较多，但都是局限于可见光图象，图象质量一般来说比较好，而且对于光流的研究也处于算法研究的阶段。
First , we compute the larger spatial transformation . then , we refine the parameters using projective transformation . it is proved that this method can produce good result and fast speed 我们采用的是基于频域仿射模型的光流方程，即首先计算比较大的空间变换，然后再对其进行透视变换求精，实验证明这样既可以获得较好的效果，也提高了计算速度。
This paper addresses the problem of testing all kinds of algorithms for estimation of optical flow on infrared image sequences by considering the performance and computational cost . the main purpose is to find an approach suitable for the missiles 论文的主要意义在于将光流计算方法应用到实地拍摄的红外图象序列上，通过对各种算法的比较，希望找到一种能够在空空导弹上的实现方案。
A linear method is derived to determine 3d structure and motion using corner point optical flow . the method has advantages over the traditional methods in algorithm . some experiments are designed to validate the linear method 在3d运动和结构重建方面，本文改进了基于光流场计算3d运动和结构的线性算法，通过光流运动模型的建立，推导出由角点光流场重建3d物体运动和结构的线性算法。
Second , a feature based matching method is presented , which is based on the area based matching method . this feature based matching method can be used to track feature points so that a new method of computing the optical flow field is presented 进一步,本文将该区域匹配算法改进为特征点匹配算法,并将该技术用于序列图像中的特征点跟踪问题,提出了一种针对移动机器人的光流场计算方法。
