Lucas_Kanade

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)

利用剪切波变换的方向性和多尺度特性，在剪切波变换域中进行阈值降噪处理(Using the directional and multi-scale characteristics of shearlet, the threshold denoising is performed well in the shearlet transform domain)

说明：  该程序采用matlabGUI编写,包含了经典的图像匹配算法.(MatlabGUI prepared using the program, including the classic image matching algorithm.)

visionpro字符识别

矢量区域填充算法（包括汉字提取生成） 算法(Vector area filling algorithm (including the extraction of Chinese characters generated) algorithm)

说明：  实现图片、文本隐藏在图片中，并导出等操作(Implement images, text hidden in images, and export operations)

VC和OpenGL实现的点云读取界面，需要的朋友可以下载参考(VC and OpenGL realize the point cloud to read interface, the need for a friend can download the reference)

运用susan算法进行角点检测，并在图中显示出来(Application susan corner detection algorithm and displayed in the drawing)

关于相位相关的算法，用于配准，有些可以达到亚像素(on phase correlation algorithm for registration, and some can reach sub-pixel)

Brent算法为结合黄金分割法和抛物线法的一维搜索方法(one dimension search)