bmpscrollview

pcl 3d 文件格式转换，点云读取与显示(PCL 3D file format conversion, point cloud reading and display)

说明：  VC++ 图像处理类库CxImage源代码，CxImage是一个可以用于MFC 的C++类，可以打开，保存，显示，转换各种格式的图像文件,比如BMP, JPEG, GIF, PNG, TIFF, MNG, ICO, PCX, TGA, WMF, WBMP, JBG, J2K 等格式的文件。可以实现BMP<->JPG，PNG <>TIFF格式等等的转换。 (VC++ image processing library CxImage source code, CxImage is a can be used MFC' s C++ classes, you can open, save, display, convert various formats of image files, such as BMP, JPEG, GIF, PNG, TIFF, MNG, ICO, PCX, TGA, WMF, WBMP, JBG, J2K and other formats. Can achieve BMP &lt -&gt JPG, PNG &lt &gt TIFF format conversion, etc..)

图像处理系列之边缘检测篇 涵盖内容： 1>Roberts算子 2>Prewitt算子 3>Sobel算子 4>Laplacian算子(Edge Detection)

基于visual c++平台，相机标定方法中的直接线性变换方法，即DLT方法(Based on visual c++ platform, camera calibration method of direct linear transformation method, namely DLT method)

图像简单处理小程序，带有测试图片，比较实用的小冬冬 (Simple procedures to deal with small images, with the test pictures, more practical small Dongdong)

关于包络跟踪测试解决方案的说明。介绍了所需的相关仪表以及之间的同步通信(Envelope Tracking)

YUV Quantization using VS2010

先进行图像预处理，比如Hough变换，边沿检测，还有差影法，模板提取 ，识别，跟踪，最后是模板匹配。(First image preprocessing, such as the Hough transform, edge detection, as well as poor shadow method, template extraction, identification, tracking, and finally the template matching.)

此程序利用openCV中人脸识别于模版匹配实现机器人的运动控制功能，其中机器人控制用了Aria的库和模拟器，使用者可根据控制需要替换这部分程序。 本程序的核心部分一直用于只能轮椅的人脸控制。(This process us face recognition in openCV and template matching to achieve robot motion control functions, which used the Aria library and robot simulator, user need replace this part of the control procedures to achieve their application.)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)