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face-recognition
- 人脸模式识别 能正确有效的识别出人脸的器官的准确位置.-Face pattern recognition correctly identified the exact location of the organs of the human face.
face-search
- 摄像头将图像传入系统中，系统对人脸进行识别，从而检测是否为合法用户-Camera images into the system, the system of human face recognition, so as to detect whether the legitimate users
Face-detect.tar
- Combined Face Recognition Using Wavelet Transform and Bayesian
Face-recognition-based-Gabor
- 利用Gabor特征和人工智能结合来检测人脸，利用matlab写的-The use of Gabor features and artificial intelligence combine to detect human face using matlab write
Face-recognition
- 本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。-WebCam collection of streaming video as a data source, single image in the interception of the video stream,
face-recognized
- 人脸识别的一个程序，包括PCA，2DPCA，及小波PCA，子函数可用，有说明，主函数需要下载人脸库-A program of face recognition, PCA, 2DPCA, and wavelet the PCA, Functions available descr iption of the main functions need to download face database
face-recognition
- 将图片的人脸进行识别并以矩形边框进行标注-Picture of the face to identify and label a rectangular border
face-recognitiom
- this is code for face recognition
K-Lface-recognition
- 基于K-L变换的人脸识别技术 包括人脸的重建 K-L计算 大家可以参考下-Based on KL Transform for Face Recognition technology including the reconstruction of the face KL calculation we can refer to
Face
- 可以进行图像预处理，人脸检测，人脸识别，用的方法是主成分分析-Can for face recognition
Face-Eye-Detection.part2
- 模式识别，人脸 定位，输入图像测试，误差分析，识别效率，计算时间等-Pattern recognition, face recognition, face location, the input image testing, error analysis, identification efficiency, calculate the time
Face-recognition-using-pca
- 使用主成分分析进行人脸图像的识别，并计算识别率-Using principal component analysis for face image recognition, and calculate the recognition rate
matlab-face--recoginition
- MATLAB FACE RECOGINION,讲述了MATLAB，在人脸识别中的应用，主要基于子空间的PCA方法。-The MATLAB FACE RECOGINION, about MATLAB, in face recognition, PCA method is mainly based on subspace.
OPENCV-Face-recognition
- OPENGL人脸识别(VC++源代码)有興趣下去試試看吧~!-The the OPENGL recognition (VC++ source code)
FLD_based-Face-Recognition-System_v2
- 用FLD分类器实现人脸分类，里面包含20张训练图片和十张测试图片-FLD classifier face classification, which contains 20 training images and 10 test pictures
Face-recognition
- 提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了
face---PcaFC
- 利用主成分分析的特征子空间进行人脸特征提取，通过人脸重建进行人脸识别-Feature subspace using principal component analysis for facial feature extraction for face recognition, face reconstruction
Recognition
- MATLAB实现人脸识别源代码，共三个小程序-source code for face recognition
BP-face-recognization
- 基于BP神经网络的人脸识别算法的MALAB实现。采用了抽样-全样训练的方式。-BP neural network-based face recognition algorithm MALAB. Using a sample- the whole kind of training methods.
finger-and-face
- 指纹和人脸识别VC程序，内含指纹识别报告，对初涉该领域的人有较大的帮助-Fingerprint and face recognition VC program, containing fingerprint report, new entrants to the field to help people have a greater