视觉与毫米波雷达目标的匹配.tar

说明：  这是个读取视频中每一帧并按顺序保存的小工具，因网上现成的太少，故自己编写(This is a small tool for reading vedio and save every frame in it .)

Adaboost训练分类器的源代码，是快速人脸检测的必备。(It is the code for training classifiers by Adaboost to Face Detection)

求s=a+aa+aaa+aaaa+aa...a的值，求最大公约数和最小公倍数(Seeking s = a+aa+aaa+aaaa+aa ... a value, find the greatest common divisor and least common multiple)

使用分裂Bregman算法做图像去噪，收敛速度很快，保持缘特征(using Splitting Bregman algorithm do image denoising, fast convergence to maintain edge features)

说明：  以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。 以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号，取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm. In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)

天正T20 4.0（2017）版本过期注册机、补丁(Tian Zheng T20 4 (2017) version software and expired registration machine, patch)

： 对一种基于图像几何重心的特征点提取算法进行了改进 改进后的算法可以提取任何边缘线上凹凸处的特征点 其基本 思想是，首先提取图像的边缘轮廓线，计算封闭边缘线和非封闭边缘线的几何重心 然后以重心为极点，对边缘点极坐标化，形成 幅角-极径曲线，在该曲线上寻找局部极大极小值点 最后根据局部非极大（小）抑制原则对极大（小）值点进行取舍获得特征点 模 拟结果表明算法计算简单 稳定性好 该方法提取的特征点能准确地反映目标的形状，对目标的识别 跟踪以及三维表面重建等都 具有重要的价值(This paper modifiesakindoffeatureextractingalgorithmbasedonimageedge.First， imageedgeoutlineisextracted. Second， geometricgravitycenterofedgeoutlineiscalculated.Third， argument-polarradiuscurveofpolarcoordinatesystemwhose poleisgeometricgravityisformed， andmaximumandminimumvaluepointsaresearched.Atlast， featurepointsareobtainedby selectingmaximum （minimum） valuepointsaccordingtolocalnon-maximum （minimum） depressionprinciple.Theresultindicates thatthealgorithmissimpleanditsstabilityisgood.Itisimportantforobjectrecognitionandthree-dimensionreconstruction.)

说明：  这是一个矢量控制成功的双馈异步风机的mdl模型(This is an mdl model of a doubly-fed asynchronous fan with successful vector control)

SAR影像cloude分解，提取极化信息(PolSAR cloude decomposition)

说明：  Legendary server controller for game enthusiasts to study, can