AUTOCAD的二次开发。该软件有一个主要功能是利用计算机堆栈技术和迷宫算法在CAD中自动求出最短路径长度（其中还利用了CAD的扩展数据技术，自定义了单链表类和...

透视投影的生成算法-perspective projection algorithm for the generation

基于神经网络的文字识别系统 本目录主要包括：文档和两个源代 其中源代码是识别程序的，另一个是矩阵类库的。已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-Based on neural network character recognition system catalog include: the two source documents and source code generation which is to identify the procedure, and the other is the matrix class library. Has been preserved trained network weights, so the identification procedures used for the first time, you can directly run the Release directory of the executable file, and then on the picture of the test directory to read into the picture, identification. Of course, we can use training samples to train the network, but attention should be paid to training samples, otherwise it may be very low recognition rate. Training sample selection principle is that, as far as possible have representation in the training time not too long a number of cases as many as possible training samples

很好的地图编辑器，适用于J2ME的开发，希望大家支持-good map editor, J2ME applicable to the development, we hope that the support

图像的处理，包括图像的反色、颜色直方图、输入图像等-Image processing, including the image of the anti-color, color histogram, the input image, such as

对图像Gabor特征的提取，一个非常有效的特征,并用SVM对图像进行分类 99142375gist

三次Bezier曲线虽然原理跟二次Bezier曲线的类似，但是具体编程时还是有很多地方需要注意，因实际应用中三次Bezier曲线的作用越来越大，所以编了此程序以供参考-cubic Bezier curve Although the Second Principle Bezier curve with a similar, but specific programming when there are still many areas that need attention, according to the actual application of cubic Bezier curves bigger role, so part of this program for reference

基于地面特征识别的室内机器人视觉导航，武汉大学硕士论文含代码-Ground-based feature recognition for indoor robot visual navigation, Wuhan University master

这是用OpenCV写的稳像视频程序，确定就是在像素处理上不太好。对于新手来说，是一个很不错的学习程序。

计算机图形学作业，主要是利用栈的扫描线算法-Computer graphics work, mainly using stack scan line algorithm

       VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.       This is toolkit of visualSFM, and you will need it!