sar

RAC法标定程序，适用于单目摄像机的线结构光的标定(The RAC calibration method procedure applies to line structured light calibration)

说明：  双目视觉导航的文章，介绍了CCD标定，图像匹配，三维重建等关键技术(TE PLEASE DOWNLOAD IT )

KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。(KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install OpenCV.)

说明：  本代码采用的是opencv，有视频采集和对采集的视频帧进行laplace处理的功能！(This code uses a opencv, with video capture and the capture of video frames laplace processing capabilities!)

包括基于SIFTGPU的sift特征提取，sift匹配，基于ransac误匹配点剔除等(SIFTGPU based sift feature extraction, sift matching, mismatching points based ransac removed, etc.)

非常好的klt算法的事例程序源码，大大家多多下在亚，谢谢大家乐 (Very good klt algorithm example program source code, large lot next in Asia, and thank you for music)

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.)

说明：  对给定图片求图片中的染色体个数。具体步骤：中值滤波方法，二值化处理，膨胀和腐蚀，开闭运算，求连通区的个数(Of a given picture for the picture of the chromosome number. Concrete steps: median filter method, binarization processing, expansion and corrosion, opening and closing operations, and the number of connected areas)

在VC6.0环境下，借助openCV函数库，对视频中的人脸进行检测，并实时跟踪，然后用Haar特征的分类器定位人脸，并检测瞳孔存在与否，提取关于眼睛的疲劳信息(In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classifier faces, and examine the pupil existence, to extract the information about the fatigue of the eye)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)