The heart of this algorithm is to track at least four fiducial points from frame to frame that construct the affine frame, and thus the occlusion contours between virtual and real objects can be reconstructed and reprojected.
算法的核心是在每一帧图像中追踪至少四个基准点，构成仿射基，进而对虚拟物体与真实物体之间的遮挡轮廓进行重建和重投影。
Yanowitz algorithm which interpolates the image grey by gradient imformation. Then it can get water meter frame information by horizontal and vertical projection, and extract line by improved Hough transform. Finally, the image can be corrected by affine transform.
Yanowitz算法，能够很好的分割目标和背景；再利用水平和竖直投影提取水表表框信息；然后再利用改进的Hough变换提取表框范围内直线，对结果进行统计分析，求出水表的倾斜角度；最后采用逆仿射变换的方法，对表框图像进行双线性插值旋转，得到表框的矫正图像。
This method represents the virtual objects in Euclidean space instead of in affine space, which is consistent with the popular graphics rendering tools such as OpenGL and is more common in practice. A new classification based local and global tracking strategy to match features between the reference image and the currently frame directly is presented, which enables the augmented reality system working effectively even under large changes of viewing angles. A novel affine coordinate system definition method based on a collection of feature points is also proposed, which makes the tracking method effective even when not all the reference points are detected during the whole process, as long as there are at least four pairs of reference points correspondences.
该方法以仿射变换为桥梁来建立欧氏空间下的摄像机坐标系与世界坐标系之间的变换关系，它与OpenGL等当前流行的图形渲染工具一致，具有更强的通用性；采用基于分类的自然特征匹配策略，能够在视角和视点发生大幅度变化情况下依然正常工作；提出基于特征点集合的仿射坐标系定义方法，使增强现实系统在最小配置下只需4点追踪成功即可完成注册，比需要6点的透视投影方法具有更好的健壮性和精确性。
The depth variances of feature points affect the precision of inter frame motion estimation based on commonly used affine model.
图象点深度变化对常用的基于仿射模型的帧间运动估计方法精度影响比较大。
According to Dahlke s idea, the analysis of affine frame is discussed for solving wideband spreading function, and the implementation is given.
根据Dahlke的思想，文中具体讨论了仿射框架在宽带扩展函数求解中的应用问题，给出了具体的实现方法，仿真结果表明在满足足够分辨条件下该方法有效。
Affine frame is a very basic concept in wavelet theory.
仿射框架是小波理论中很基本的概念。
Computing the Parameters of Points on Nurbs Curves and Surfaces via Moving Affine Frame Method
基于活动仿射标架反求Nurbs曲线/曲面参数
Based on the feedback linearization theory of differential geometry theory, an affine nonlinear mode of three phase voltage source PWM rectifier in the rotating frame d-q is set up by applying impulse mode integral method.
该文基于微分几何理论，在建立三相电压型PWM整流器仿射非线性模型基础上，提出其状态反馈精确线性化非线性控制策略，实现了三相电压型PWM整流器无功功率和有功功率的解耦控制。
First we estimate the head pose parameters in the first frame by an affine correspondence based method.
首先用仿射变换的方法得到初始帧的人脸姿态参数并作为姿态跟踪的起点；
Through affine transform over the current frame, the motion compensation of translation and rotation can be realized.
通过对当前帧进行仿射变换，即可实现对图像的平移和旋转的补偿。
Firstly the reference frame and the current frame are divided into several subblocks respectively, and the local motion vectors have been estimated using gray projection algorithm. And then an energy minimization is also applied to calculate the coefficients of affine transform according to calculated valid local vectors.
先把参考帧和当前帧分成若干个子块，利用灰度投影算法计算出局部运动矢量，然后使用能量最小化方法，由求出的有效局部运动矢量确定仿射变换模型参数。
In this paper, the authors introduce the moving affine frame (MAF) method for intersection calculation of parametric curves and surfaces.
该文介绍了用于参数曲线/曲面求交的活动仿射标架（movingaffineframe，简称MAF）方法。