LianXi2

主要功能是实现相机标定，以及实现反投误差，实现特征点的提前。(The main function is to achieve camera calibration and error to achieve the anti-investment, to achieve the feature points in advance.)

1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)

词袋模型，非常好的参考，有详细说明，希望顺利使用。(The bag of words model, a very good reference, there are detailed instructions, hope to use smoothly.)

说明：  高光谱图像压缩中的ezw算法，实现了很好的压缩比(Hyperspectral image compression ezw algorithm to achieve a good compression ratio)

说明：  三相不平衡的补偿方法,simulink环境下实现,不错(The compensation method of three-phase imbalance is realized in simulink environment, which is good.)

说明：  利用matlab进行编译，显示raw格式的裸数据(Compile with matlab and display raw data in raw format)

利用matlab 对高速公路的裂缝进行检测，用到了数字图像处理的基本算法(The use of matlab on the highway crack detection, using the basic digital image processing algorithms)

实现基于四步傅里叶变换的单像素成像，原创，实现论文《基于傅里叶光谱获取法的单像素成像》(Implementation of single pixel imaging based on four step Fourier transform)

说明：  基于mmdetection框架的深度学习目标检测框架(deep learning object detection based on mmdetection)

Gabor小波进行特征提取，实现人脸识别(Gabor Wavelet Feature Extraction to Achieve Face Recognition)