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Description: opencv源代码表情识别，可以进行简单的表情识别(The opencv expression recognition code written abroad, can do simple facial expression recognition.)
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Size: 369664 |
Author: 萌1 |
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Description: CSS3脸部表情鼠标控制动画代码，鼠标控制眼球转动。(CSS3 facial expression mouse control animation code, mouse control eye rotation.)
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Size: 2048 |
Author: ES1678 |
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Description: 一篇应用于人脸识别的自动面部妆容检测外文文献(An automatic facial makeup detection foreign language document applied to face recognition)
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Size: 525312 |
Author: itsf |
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Description: 可以生成特定属性的人脸图片，用于人脸属性编辑(It can generate facial images of specific attributes for facial attribute editing.)
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Size: 1015808 |
Author: hityzy |
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Description: 基于特征脸的人脸表情识别matlab代码(Facial expression recognition matlab code based on feature face)
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Size: 5732352 |
Author: 阻 |
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Description: 一款脸部追踪的unity Demo.功能不是很强大，代码仅供作参考。(A facial tracking unity Demo. function is not very strong, the code is for reference only.)
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Size: 51448832 |
Author: feng23 |
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Description: 人脸识别基于ASM的人脸面部关键特征点定位算法研究(Face recognition
Research on facial feature key points location algorithm based on ASM)
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Size: 1961984 |
Author: mcm2018 |
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Description: 完整MATLAB程序语言，可以识别人的脸部，并将脸部轮廓框出来(A person's face can be identified)
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Size: 3072 |
Author: 嘻嘻额哈哈哈 |
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Description: 用于ycbcr空间检测人脸肤色，需要自己添加试验级。用photoshop软件将人脸涂白，其余的地方全部涂黑。(For YCbCr space to detect facial complexion, you need to add test level yourself. Photoshop software is used to whitewash the faces and the rest are blackened.)
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Size: 4096 |
Author: 琦玉 |
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Description: matlab人脸识别,能精准识别照片中的人脸，并且精确识别出人脸五官，给出照片库，能进行对比从而找出人脸。(Matlab face recognition, can accurately identify the face in the photo, and accurately identify the facial features, give a photo library, can be compared to find out the face.)
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Size: 15360 |
Author: 帅哥.. |
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Description: 人脸特征提取matlab源码。适用于人脸识别的matlab实现。(Facial feature extraction matlab source code. It is suitable for matlab implementation of face recognition.)
Platform: |
Size: 3875840 |
Author: ZCzhuang |
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Description: 代码是C#的，人脸检测、比对的引擎是虹软的1.2版本。
我只有20M附件的权限，所以只能删除了虹软的识别引擎库（没有这个库源码不能正常运行），请下载者自己去虹软申请并下载(目前是免费的)吧。
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环境要求：
VS2012及以上，.Net Framework 4.5
使用说明：
拿到代码以后，请更换自己key和dll文件，我这个key和dll大概是19年年底就到期了。
待比对的图片请copy到bin\Debug下的ArcFaceImgPath目录中(也可在配置文件中自行设置)，支持子目录。
添加新图片后，执行1次“初始化”，生成面部特征数据，以后的比对都是基于这个特征数据的，速度会很快。
摄像头模式中，我将特征文件加载至内存中，比对速度更是飞快，做人脸考勤、门禁等完全够用。
摄像头使用了AForge类库，为方便头一次接触摄像头和虹软识别的开发者，我将所有类库打包了(所以源码有点大)，并实验了几台电脑，基本是打开源码就能运行。(The code is C #, and the engine of face detection and comparison is Hongsoft version 1.2.
Instructions:
After you get the code, please change your key and DLL files. My key and DLL will expire at the end of 19 years.
The images to be compared should be copied to the ArcFaceImgPath directory under bin Debug (which can also be set up in the configuration file) to support subdirectories.
After adding new pictures, perform an "initialization" once to generate facial feature data. Later comparisons are based on this feature data, and the speed will be very fast.)
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Size: 1295360 |
Author: waenzht |
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Description: Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。
结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues).
As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)
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Size: 4684800 |
Author: bbqQq |
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Description: OpenPose人体姿态识别项目是美国卡耐基梅隆大学（CMU）基于卷积神经网络和监督学习并以caffe为框架开发的开源库。可以实现人体动作、面部表情、手指运动等姿态估计。适用于单人和多人，具有极好的鲁棒性。是世界上首个基于深度学习的实时多人二维姿态估计应用，基于它的实例如雨后春笋般涌现。人体姿态估计技术在体育健身、动作采集、3D试衣、舆情监测等领域具有广阔的应用前景，人们更加熟悉的应用就是抖音尬舞机(OpenPost Human Attitude Recognition Project is an open source library developed by Carnegie Mellon University (CMU) based on convolutional neural network and supervised learning and caffe framework. Posture estimation such as human motion, facial expression and finger movement can be realized. It is suitable for single person and multi-person, and has excellent robustness. It is the first real-time multi-person two-dimensional attitude estimation application based on deep learning in the world. Examples based on it have sprung up like mushrooms after a spring rain. Human posture estimation technology has broad application prospects in sports fitness, motion acquisition, 3D fitting, public opinion monitoring and other fields. People are more familiar with the application of tremolo embarrassing dance machine.)
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Size: 45787136 |
Author: 对对对对的 |
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Description: 可以检测定位人脸和人的眼睛位置，适用于美颜相机中聚焦脸部和定位脸部器官(It can detect and locate the position of face and human eyes. It is suitable for focusing face and locating facial organs in beauty cameras.)
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Size: 186368 |
Author: xrkmyyl |
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Description: 通过训练jaffe数据库，实现识别人脸高兴、惊讶、恐惧、生气等六种表情，并圈出。可调用电脑摄像头实时监测。内附有使用说明，可以使用。仅供学习参考。(Through training Jaffe database, six kinds of facial expressions, such as happiness, surprise, fear and anger, are recognized and circled. Real-time monitoring with a computer camera can be invoked. With instructions for use, it can be used. For learning reference only.)
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Size: 10229760 |
Author: 我就是玩一玩 |
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Description: 用Python实现一个网络聊天室，可发送表情和传输文件(Using Python to realize a network chat room, which can send facial expressions and transfer files)
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Size: 985088 |
Author: DongBlack |
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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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Description: 对人脸图像进行磨皮美白、增加滤镜，实现美颜效果。(The facial image is polished and whitened, and the filter is added to achieve the beauty effe)
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Size: 1991680 |
Author: sklee |
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