Description: 人脸检测的方法很多，pca是其中比较有效的一种。本代码主要是使用pca的方法进行人脸检测，可以检测出人脸的位置，数目，大小-Face Detection many ways, the PCA is a more effective. The code is based on the PCA method Face Detection can detect human faces in the number, size Platform: |
Size: 1606 |
Author:段娜 |
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Description: 一个由zafersavas于2008年完成的完全基于VC++6实现的人脸检测和人眼跟踪程序，通过设置相应的参数实现不同的功能。人脸跟踪中使用了camshift算法和Haar算法，眼睛检测中使用了自适应PCA算法和模板匹配算法，还支持文件和网络摄像头两种输入方式，经过试验，检测速度比较快和准确度也比较高。附带demo程序。 使用步骤： 菜单TrackEye Menu --> Tracker Settings 输入源Input Source: video 选择文件输入指定为： ..\Avis\Sample.avi 人脸检测算法（Face Detection Algorithm）: Haar Face Detection Algorithm 选中 “Track also Eyes” checkBox 眼睛检测算法（Eye Detection Algorithm）: Adaptive PCA 取消选择 “Variance Check” Number of Database Images: 8 Number of EigenEyes: 5 Maximum allowable distance from eyespace: 1200 Face width/eye template width ratio: 0.3 ColorSpace type to use during PCA: CV_RGB2GRAY 瞳孔检测设置（Settings for Pupil Detection） Check “Track eyes in details” and then check “Detect also eye pupils”. Click “Adjust Parameters” button: Enter “120” as the “Threshold Value” Click “Save Settings” and then click “Close” Settings for Snake Check “Indicate eye boundary using active snakes”. Click “Settings for snake” button: Select ColorSpace to use: CV_RGB2GRAY Select Simple thresholding and enter 100 as the “Threshold value” Click “Save Settings” and then click “Close” Platform: |
Size: 204022 |
Author:sichuanlu |
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Description: 人脸检测的方法很多，pca是其中比较有效的一种。本代码主要是使用pca的方法进行人脸检测，可以检测出人脸的位置，数目，大小-Face Detection many ways, the PCA is a more effective. The code is based on the PCA method Face Detection can detect human faces in the number, size Platform: |
Size: 1024 |
Author:段娜 |
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Description: 在Yale 人脸库上运用PCA＋SVM的方法实现了人脸检测，并统计识别率-In the Yale face database using PCA SVM method achieved a face detection and recognition rate statistics Platform: |
Size: 5402624 |
Author:舟子还 |
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Description: 一个外国人写的人脸检测程序，用到svm,pca,神经网络,还不错-Written by a foreigner face detection procedure, used svm, pca, neural network, but also good Platform: |
Size: 194560 |
Author:谢朝 |
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Description: PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection! Platform: |
Size: 8192 |
Author:chen |
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Description: Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification Platform: |
Size: 463872 |
Author:刘子木 |
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Description: 一个可以用的PCA人脸检测算法代码,可以供大家一起学习交流-PCA can be used in a face detection algorithm code, you can exchange for learning together Platform: |
Size: 262144 |
Author:胡世锋 |
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Description: MATLAB环境下编的人脸检测和识别算法，人脸识别部分采用的pca算法，另外包括一个人机界面，直接运行facedec程序即可运行-MATLAB environment, compiled by face detection and recognition algorithms, face recognition pca algorithm is used in some of the other, including a man-machine interface, programs can be run directly run the facedec Platform: |
Size: 3860480 |
Author:Brad Bibson |
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Description: 人脸识别技术是计算机模式识别领域非常活跃的研究课题，在法律、商业等领域有
着广泛的应用前景。自动人脸识别系统一般由两个模块组成：定位与检测模块，特征提
取与识别模块。本文对两个子模块进行了详细讨论，通过实验仿真了一个基于静态图像
的人脸识别系统。为提高系统的识别率，本文对定位检测模块和特征提取模块进行了深
入研究。
针对复杂多变人脸检测和定位问题，实现了一种基于对称特征的人脸定位方法。该
算法首先基于肽色特征提取出人脸区域，根据眼睛的颜色和梯度特征在肤色区找到眼睛
可能存在的有限的候选区域：根据人脸的对称特征，把这些候选区域分别进行匹配，找
到最佳匹配的区域就是眼睛区域。本算法适用于表情变化，姿态变化，有胡须，戴眼镜
的多种情况。特征提取是人脸识别系统中非常重要的技术，本文仿真的人脸识别系统采
用一种结合主元分析(PCA)和F．LDA的人脸识别方法。为了解决F．LDA直接应用到
高维模式识别中计算复杂度太大的问题，算法中首先应用主元分析进行降维。该算法能
克服LDA的小样本问题。-ne technology of face recognition is all active subject in the area of pattern recognition．
There are broad applications in the fields of law，business ere．A face recognition system
includes two parts：face detection and localization．feature extraction and classification,which
are discussed in detail．A face recognition system based on static image is simulated．In order
to improve the recognition rate，a new face detection and localization method and a new
feature extraction method are proposed． Platform: |
Size: 8399872 |
Author:maple |
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Description: 人脸检测的MATLAB代码，包括训练过程。程序的中间用到了PCA的方法。-MATLAB code for face detection, including the training process. Procedures used in the middle of the PCA approach. Platform: |
Size: 2048 |
Author:sunsimple |
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Description: 人脸表情识别是模式识别领域中一个重要的研究方向。人脸表情识别包括：从背景图像中检测人脸、图像采集、对人脸图像进行预处理、PCA提取表情特征、表情识别。-Face recognition is an important research direction in the field of pattern recognition. Face recognition is made up of the following parts: face detection from the background images, preprocessing of face images, extraction of expression characteristic by PCA and facial recognition. Platform: |
Size: 34816 |
Author:panlijuan |
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Description: 人脸检测的PCA算法。先利用PCA算法，将测试集在人脸空间中进行训练，得到人脸空间的基向量，再用试验图片进行试验。-PCA algorithm for face detection. First use of PCA algorithm, the test set in the face space for training, get face space basis vectors, and then test picture test. Platform: |
Size: 795648 |
Author:肖旺裕 |
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Description: 本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方
法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm selection the use of the LDA transform domain DCT-based feature extraction method, to achieve automatic recognition of human faces. In the Yale face database of experimental results show that the algorithm is the recognition rate than the direct use of PCA for feature extraction method is better Platform: |
Size: 339968 |
Author:louc |
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Description: 自动人脸识别系统具有如图所示的一半框架并完成相应功能的任务。
（1）人脸图像的获取：一般来说，图像的获取都是通过摄像头摄取，氮摄取的图像可以是真人，也可以是人脸的图片或者为了相对简单，可以不考虑通过摄像头来摄取头像，而是直接给定要识别的图像。
（2）人脸的检测：人脸检测的任务是判断静态图像中是否存在人脸。若存在人脸，给出其在图像中的坐标位置，人脸区域大小等信息。而人脸跟踪需要进一步输出所检测到的人脸位置，大小等状态随时间的连续变化情况。
（3）特征提取通过人脸特征点的检测与标定可以确定人脸图像中显著特征点的位置（如眼睛，眉毛，鼻子，嘴巴等器官），同时还可以得到这些器官及其面部轮廓的形状信息的描述。-Automatic face recognition system has half of the framework as shown in the task and complete the corresponding function. (A) face image acquisition: In general, the image acquisition camera intake, nitrogen uptake of the image is real, is the picture of the face or to relatively simple, can not be considered through the camera head intake of the head, but given directly to the image you want to identify. (2) the detection of human faces: the face detection task is to determine whether there is a face in the static image. If there is a face, given the coordinates of the location in the image, the size of the face region. The face tracking needs further output the detected position of the face, size, state of continuous change over time. (3) feature extraction of facial feature points detection and image calibration can determine people face significant feature points (such as eyes, eyebrows, nose, mouth and other organs), but also can get the shape of these organs and their facial cont Platform: |
Size: 12288 |
Author:蔡周杰 |
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Description: 研究内容包括四个方面：分别是人脸检测，图像的预处理，特征提取和人脸识别。能在不同光照，不同表情，不同姿态的情况下获得准确的识别。-The study includes four aspects: face detection, image preprocessing, feature extraction and face recognition. The accurate identification can be obtained in the case of different light, different expressions, different posture. Platform: |
Size: 5437440 |
Author:xuyanjie |
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Description: Face Recognition System
Face Detection in Matlab
Face Recognition Software
PCA-based Face Recognition System
Face & eye detection
Face Recognition
Face Parts Detection
Face recognition using PCA
Face Detection & Recognition System
Face Detection System
Platform: |
Size: 5486592 |
Author:amin |
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Search - PCA in face detection