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[OpenCV] Face_Recognition

Description: 基于opencv库中的人脸识别代码，可以实现检测并跟踪视频中的人脸，可以选择训练人脸模型，或者直接加载训练好的人脸模型来识别视频中的人脸身份。-Based opencv library, this face recognition code can be achieve detecting and tracking faces in the video. You can choose training face model, or load directly trained human face models to identify the video face identity.
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[AI-NN-PR] OpenCode_luzhenbo

Description: [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行人检测，车牌识别，特征提取，无人驾驶，自动驾驶，毫米波雷达，激光雷达，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，数据挖掘，大数据 电子邮件：41670240@qq.com 微信：luzhenbo2 个人博客: http://blog.sina.com.cn/luzhenbo2 欢迎同行切磋交流，同时请自我介绍，内容包括：姓名、所在城市、所在单位，工作职责等。-[Original] chaos analysis, cluster analysis, support vector machine, group intelligent optimization, depth learning (convolution neural network) Matlab toolbox full open source version Download Author: Lu Zhenbo Graduated from: Naval University of Engineering, Marine and Marine Engineering (Underwater Engineering), Ph.D. Depth of learning, machine learning, machine vision, group intelligence, nonlinear and chaos, Matlab and VC++ mixed, large data (1), and a large number of data processing, Image processing, intelligent vision, convolutional neural network, face detection, pedestrian detection, license plate recognition, feature extraction, image processing, image processing, image processing, ADAS, AdaBoost, LBP, HOG, MeanShift, target detection, target recognition, target tracking, data mining, large data, radar, radar, autopilot, millimeter wave radar E-mail: 41670240@qq.com WeChat: luzhenbo2 Personal blog: http://blog.sina.com.cn/luzhenbo2 Welcome to peer exchange, and pleas
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[Other] eyeLike-master

Description: 人眼中心定位是一个用于眼部追踪的算法，C++语言实现，依赖OpenCV库。 关于代码的编译，提供了CMakeLists.txt文件，同时支持Windows，Linux和Mac OS X。 该项目从网络摄像头读取视频，进行人脸检测，再根据检测到的人脸图像截取左眼和右眼的ROI区域，最后根据截取到的ROI进行眼球中心检测与跟踪。所以算法的主要包含三个部分：人脸检测，ROI截取，眼球中心定位。(The estimation of the eye centres is used in several computer vision applications such as face recognitionor eye tracking. We therefore propose an approach for accurate and robust eye centre localisation by using image gradients.)
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