Registration

利用GPU加速的SIFT算法，实现影像匹配，并利用RANSAC进行粗差的剔除(GPU-accelerated use SIFT algorithm to achieve image matching, and use RANSAC removing coarse poor)

说明：  python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

逆透视变换的数学原理，在文档中有详细的逆透视变换的矩阵推导过程，但是没有代码，opencv逆透视变换代码可以看我发的另一篇资源。。。。。。。。。。。。。。。。。。(The mathematical principle of reverse perspective transformation, in the document there is a detailed matrix rendering process of the inverse perspective transformation, but there is no code, opencv reverse perspective transformation code can see another resource I sent)

适用于任意图像中轮廓的直线段检测与描绘，对于公路车道直线检测具有良好效果。(Linear segment detection and description for contours in arbitrary Images,it has good effect for straight line detection of highway lanes.)

Digital image processing 2nd edition

WaterShed图像分割方法，使用C++来编写的程序，分割效果还不错，不过要用的话，自己还是要调一下的。(WaterShed image segmentation method, using C++ to write programs, segmentation results were pretty good, but use the words that he is still would like to stress the.)

这个文件用PCD算法解决压缩感知（构造一个冗余字典用于图像的修复）(Using PCD algorithm to solve compressed sensing (constructing a redundant dictionary for image restoration).)

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.)

opengl图形实现，非调用函数直接构图，初级参考学习不错(opengl graphic realization, non-call direct mapping function, the primary reference to learn good)

说明：  可以进行点云数据精简，适合用matlab处理(Point cloud data reduction)