oawginteraction2

使用sift+RANSAC完成两幅图像的特征提取和匹配，并将较小图像区域在另一幅中用方框圈出来。运行plot.m。(This code uses sift and RANSAC to extract features of two images and then finds and marks the smaller image in the other image.run plot.m)

用C语言解决TSP问题的源程序是我大二选修数学建模课,课程结束后做大作业也就是选择一个题目,解决一个问题,我选择的是TSP()

Harris，SURF特征点提取匹配算法，两种算法实例比较(Harris, SURF feature point extraction matching algorithm compares two algorithms examples)

这个文件包里包含了几乎所有的聚类的工具箱，包含采用混合高斯模型的运动物体检测方面的源代码。(This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code.)

说明：  1，RGB图像分层 2，盲去卷积 3，运行环境需要matlab，加载到工作目录中，许手动添加图像文件(1. RGB image layering 2. Blind deconvolution)

说明：  bp神经网络在图像压缩中的应用源代码，欢迎下载。(bp neural network in image compression source code, welcome to download.)

通过对DXF文件解析，将解析后的数据以列表的形式展示在winform窗体中

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)

支持向量机的MATLAB源程序，效果真的很不错(SVM MATLAB source, the effect is really very good)

说明：  K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现(K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve)