DDE

　针对一个匀速直线运动目标的跟踪设计最小二乘滤波器，了解跟踪滤波的基本方法以及参数估计方法的应用。(For a uniform linear least squares moving target tracking filter designed to learn the basic methods of tracking filter and parameter estimation method applied.)

说明：  用canny做边缘检测的matlab源程序(do with canny Edge Detection Matlab source)

医学图像 CT/MR 图像的融合算法 使用梯度频率对两图像进行增强并融合，代码运行良好，适合初学者学习（注意无配准功能）(Medical image CT/MR image fusion algorithm uses gradient frequency to enhance and fuse two images, the code runs well, suitable for beginners to learn (pay attention to no registration function))

opengl 导入obj以及纹理，并且读入mtl啦啦啦啦绿撒的发生大(opengl objfsdagfadgadsfgsa)

本代码是做指纹识别是代码，平台是MATLAB，能够完成指纹识别、处理、匹配整个过程。(This code is to do fingerprint identification code, the platform is MATLAB, able to complete the fingerprint identification, processing, matching the whole process.)

测试Glew开发环境搭建是否成功，如果您成功的安装了对应的glut和glew库文件。(the test code for glew, to know is it working.)

运用图像处理，运用滤波，闭运算，腐蚀，膨胀进行一维码即条形码的识别(The use of image processing, the use of filtering, closed computing, corrosion, expansion of one-dimensional code, that is, bar code identification)

在matlab下用hausdorff进行两幅图的匹配问题,可以得到hausdorff的距离(in Matlab using hausdorff two plans for the match, can be hausdorff distance)

显示JPEG图片的源码.........................................(show jpeg picture)

说明：  机器学习专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技 能，为包括人脸识别领域的人工智能的发展做出了极大的贡献。本文探索如何应用机器学习中的一些技术，使计算机更好地完成人脸识别领域中的人脸检测和人脸验证。 在人脸检测方面，针对如何快速、准确地检出人脸的问题，基于DLIB中特征模型，可以快速提取检测出人脸，并且提取出人脸特征点,主要作用就是快速检测定位人脸。在训练过程中，引入了ResNet机器学习算法，该算法采用多层卷积神经网络结构，对人脸进行多层特征提取和描述，得到人脸特征描述符。通过测试可以证实了上述方法能够检测和识别人脸。(In terms of face detection, for the problem of how to detect faces quickly and accurately, based on the feature model in DLIB, you can quickly extract and detect faces, and extract face feature points, the main role is to quickly detect and locate faces. In the training process, the VGG-FACE machine learning algorithm is introduced. This algorithm uses a multi-layer convolutional neural network structure to perform multi-layer feature extraction and description on the face to obtain the face feature descriptor. Tests can confirm that the above method can detect and recognize human faces.)