Digital.Video-HDTV.Algo-If

主要用于图像处理，局部二值模式，人脸识别方面(Mainly used for image processing, local binary patterns, face recognition area)

程序进行了两张图片的简单合并，适合对控件的使用进行学习(Procedures carried out two simple merger picture, suitable for the control of the use of learning)

s世界计算机视觉三大会议之CVPR会议，中国人发表的经典立体匹配的论文(s World Computer Vision Conference CVPR three meetings, the Chinese classic stereo matching published papers)

说明：  sift详细编写,方向等参量，参数取舍详细(sift Detailed compilation of sift, direction and other parameters, detailed selection of parameters sift sift sift sift)

超分辨率源代码，用它可以实现超分辨率，提高影像的分辨率，可以使一使(super-resolution source code, using it to achieve super-resolution and improve image resolution, can make a)

说明：  高斯混合背景建模MATLAB代码，用于背景提取，获得前景(Gaussian mixture background modeling MATLAB code for background extraction, to obtain the foreground)

实现三频外差法展开相位，包含理想条纹图片数据。(multi frequency unwrapping phase including standard fringe data)

可以采用形态学方法找出边界，比较有益的初学者的学习方法。(It s very good for a newer to learning about image processing.)

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.)

说明：  平滑滤波，空域滤波与变换域滤波比较，从中说明其中原理(The principle of smoothing filtering is explained by comparing spatial filtering with transform domain filtering)