图像识别TimeDomainLocation

DensePose用深度学习把2D图像坐标映射到3D人体表面上，再加上以每秒多帧的速度处理密集坐标，最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)

说明：  有关连通域的提取，以肺部图片作为示例，使用bwlabel函数，非常方便(Connected domain on the extraction of the lung images as an example, the use of bwlabel function, very convenient)

This is an example of radar system simulation implemented in SIMULINK on MATLAB. The user can set the target distance, direction and other parameters by himself.

对有噪声的图像进行图像复原，通过迭代算法实现此功能(Image restoration for noisy images, this function is implemented by an iterative algorithm)

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)

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.)

产生一个验证码，有四个数字组成，有噪音，椒盐噪声等(failed to translate)

free image to be used freely

code 128 条码生成与译码演示 code 128 条码生成与译码演示(code 128 barcode generation and decoding demo code 128 barcode generation and decoding demo)

Matlab入门级图像处理程序 低通滤波器对受噪声干扰的图像进行平滑处理,(Matlab entry-level image processing low-pass filter to smooth the image by noise,)