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Description: ASM算法 MATLAB源代码
人脸特征点定位的目的是在人脸检测的基础上，进一步确定脸部特征点（眼睛、眉毛、鼻子、嘴巴、脸部外轮廓）的位置。定位算法的基本思路是：人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mouth, contour of the face) on the basis of face detection. The basic idea of the localization algorithm is that the texture features of the face and the position constraint between the individual feature points are combined. The classical algorithm is ASM and AAM.
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Size: 152576 |
Author: 曾 |
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Description: 提取GABOR特征，然后建立样本，送入SVM进行分类的表情识别(GABOR features are extracted, and then samples are built into SVM for classifying facial expression recognition)
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Size: 1042432 |
Author: huning907
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Description: 特点介绍：
1、用浏览器就能聊天（兼容所有浏览器，不用安装flash等插件）。主要应用在网站、微网站上的客户自助查询；
2、最新免费版机器人客服系包含一个电脑端和一个手机端，二次开发价格另议。
3、客服系统也可部署在内网服务器上，仅供内部员工聊天使用、类似qq微信界面左右分离式聊天更美观；
4、自定义聊天头像、表情功能、消息提示音、客服、客户聊天超时与下线通知、客户黑名单过滤机制与客户排队机制，让您聊天随心所欲~
5、软件经过长期算法调优用户体验更加，各大软件站已收录。
如何安装：
1、将整个客服系统文件拷贝到网站根目录下，打开default.php文件，将里边的CSS、DIV和JS客服代码拷贝到网站首页；
2、找到 /Me/msdb.sql 文件，导入到数据库并修改数据库名，之后删除msdb.sql文件；
3、找到 /Me/base.php 文件，配置数据库用户名、密码与数据库名；
4、登陆后台为 /Me/000000/index.html，建议将index.html修改为其他文件名。4个客服与1个管理员的用户名分别为：webu1、webu2、webu3、webu4、adminot，密码都是me05090，建议管理员登陆后修改密码。(Features introduction:
1, you can chat with the browser (compatible with all browsers, no need to install plug-ins such as flash). Customer self inquiry mainly used in websites and micro websites;
2, the latest version of the robot free customer service system contains a computer terminal and a mobile phone terminal, two times the development of price negotiable.
3, customer service system can also be deployed on the intranet server, only for internal staff chat use, similar to QQ WeChat interface, separate chat is more beautiful;
4, custom chat avatar, facial expression function, message prompt tone, customer service, customer chat timeout and offline notification, customer blacklist filtering mechanism and customer queuing mechanism, let you chat freely ~!
5, the software after long-term algorithm optimization, user experience more, the major software station has been included. The latest version and documentation, see the official website ban20.net.)
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Size: 1307648 |
Author: 小妞牛
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Description: 面像识别训练时用到的归一化特征，进行人脸特征提取的代码(The normalization features used in facial recognition training, and the code for facial feature extraction)
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Size: 5120 |
Author: HLT
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Description: Human facial age estimation aims to automatically label a facial image with exact age or age group based on visual features derived from a facial image.
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Size: 30720 |
Author: Dheena |
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Description: 用市面上的摄像头，可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and network layers, so that each layer can learn more features and greatly improve the generalization ability. The network is deeper, the amount of calculation in each layer is reduced, and the ability of feature extraction is strengthened, so as to improve the accuracy of target classification. On the LFW data set, the accuracy of face recognition reaches 98.40%. In this experiment, mtcnn is introduced into the face detection algorithm. Its backbone network is divided into three convolutional neural networks: p-net, R-Net and o-net. Among them, o-net is the most strict in screening candidate face frames. It will output the coordinates of a human face detection frame and five facial feature points (left eye, right eye, nose, left mouth corner, right mouth corner).)
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Size: 2415616 |
Author: 莱尼 |
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