SIFT-PCA

用matlab编写多级非标准小波重构的函数 (prepared using Matlab multi-level non-standard wavelet function Reconstruction)

说明：  该课题为基于MATLAB平台的PCA的人脸识别图像考勤系统。传统的人脸识别都是直接人头和人头的对比，现实意义不大，这块都做烂了，不易通过毕设答辩，而且论文不好写。该课题识别原理为：从一副生活照中寻找到人脸，并且分割人脸图象，利用PCA算法进行降维，和库里图片进行对比，输出目标人脸以及记录识别的时间，可以统计人脸打卡的当月次数，从而统计出勤率。该课题还可以继续二次开发，做成库内外人脸的识别，如果是库外人脸则实现报警。GUI界面有清除数据功能，统计工资等功能。(This project is based on the MATLAB platform PCA face recognition image attendance system. The traditional face recognition is the comparison of direct head and head, which is of little practical significance. This part is not easy to pass the final defense, and the paper is not easy to write. The recognition principle of this subject is: find the face from a living picture, segment the face image, reduce the dimension by PCA algorithm, compare with the library picture, output the target face and record the recognition time, and then count the number of times in the month when the face is punched, so as to count the attendance rate. The subject can also be further developed to make face recognition inside and outside the database. If it is outside the database, the alarm can be realized. The GUI interface has the functions of data clearing and salary statistics.)

利用正交匹配跟踪原子库对信号进行稀疏分解程序(Using orthogonal matching pursuit atom libraries for signal sparse decomposition process)

IDL中的批量重采样，可以省很多时间，根据自己的需求，采样成不同分辨率的图像。(IDL in batch resampling, you can save a lot of time, according to their needs, a different sampling resolution images.)

一种基于特征点的图像匹配算法 一种基于特征点的图像匹配算法(Feature point based image matching algorithm based on feature points matching algorithm)

说明：  对于双基地SAR，基于IDL语言使用BP算法进行成像，以及显示回波信号。(For Bistatic SAR, BP algorithm is used to image and display echo signal based on IDL language.)

C++ 二维码识别

c# 饼形图分析公司男女比例 附源码

说明：  bp人工神经网络模式识别教程示例，研究人脸识别 手势识别有帮助(bp nervel network trainning and recognition ,e.g:face & dynamic hand gesture detection and face recognition .I hope it would be very useful for researcher !)

说明：  针对输入180个波束数据，通过使用抛物线插值法进行插值，最终得到720个波束的数据，用于图像显示(For 180 beam data input, 720 beam data are obtained by parabola interpolation method for image display)