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SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

用WENO,ENO等高分辨方法结合LEVELSET做图像处理(With WENO, ENO methods, such as high-resolution image processing done LEVELSET)

在matlab环境中对图像提取Haar特征(Environment in matlab to extract Haar features for image)

在matlab中实现透视变换。算法正确高效，这种仿射变换经过修改后可用于图像矫正或者摄像机标定等用途。(Matlab in perspective transformation. Correct and efficient algorithm modified this affine transformation can be used to image correction or camera calibration purposes.)

说明：  ICA人脸识别算法实例matlab源码，已测试过，程序能运行，且识别率较高(ICA face recognition algorithm matlab source code examples have been tested, the program will be able to run, and a higher recognition rate)

粗化细化程序很好用的，大家试市啊，(crude refining procedures of the good, we take the city ah,!)

说明：  利用支持向量机实现到道路图像的分割功能，自行鼠标点击采样(Road segmentation using SVM)

摄像头录制功能

用于通过三维激光点云数据生成二维的地理参考特征图像，此处以高程作为特征(Used by 3 d laser point cloud data to generate two-dimensional geographical characteristics of reference image, the elevation as features)

三帧差分法，绝对可用，matlab实现，里面有视频和结果图。如果程序出错误，可用先把result.avi删除，在做测试、(Three difference method, absolutely free, matlab realize, there are videos and results map. If the program is an error that can be used to delete first result.avi while doing the test,)