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facedetect
- （1）图像预处理：包括输入、输出、显示、缩放等，以及图像的腐蚀、膨胀，图像校正，亮度及对比度调节，光照补偿，色彩平衡等；（2)人脸检测功能，并对检测出的人脸进行标记。-(1) Image preprocessing: includes input, output, display, zoom, and image of the erosion, dilation, image correction, brightness and contrast adjustment, illumination
FaceRecognition
- 从一副人物照片中识别出人的面部，并用矩形标出识别出的面部区域。声明：核心识别算法非原创。但来源已不清楚。-To recognize one s face from one s photo and mark it. Assertion: the core codes are not original.
Ffacce-locatia
- 人脸定位与识别的Visual C++实例。提供了友好的操作界面。输入人脸图像后，，提供两种人脸区域的检测方法。然后在人脸区域中可自动标记眼睛、嘴巴、鼻子及边缘提取。 -Face location recognition Visual C++ of instances. Provides a friendly user interface. Input face image, two kinds of face region detection method. Then automatical
Fobjectmarkera
- 在人脸检测中用于标记人脸位置的objectmarker..exe，本人花了很大力气才收集到的， -Used to mark position of the face in the face detection objectmarker .. exe, I spent a lot of energy only collected
Efacezipx
- 人脸定位实例，边缘提取，标记记眼睛，标记嘴巴鼻子可直接使用。 -The face positioned instance, edge extraction, Mark Hutchison eyes, marked the mouth nose can be used directly.
face
- 基于C#编写的人脸识别系统，首先进行人脸图片的预处理，包括：标记人脸区域，光照补偿，灰度化，高斯平滑，直方图均衡化处理，对比度增强，二值化变换，去除孤立点等操作，然后标记人脸特征点，提取特征信息，与数据库中信息比较进行识别-Written in C#-based face recognition system, the first face image preprocessing, including: labeled human face region, illumination compe
Face
- 人脸识别的源码，将识别到的人脸用方框标识出来，开发环境为VS2010+opencv2.2.0-Recognition of the source, will recognize the face with a box to mark out the development environment for VS2010+opencv2.2.0
FaceDetect
- 人脸检测与特征定位，先做完人脸检测才能标注特征，在人脸检测区域可以进行二值化图像，相似度计算等操作，在特征标注区可以完成边缘提取，标记人脸器官操作-Face detection and feature location, perfect face detection to do first annotation feature, the face detection area in the binarized image can be performed, similarity calculat
tzimiro_ICCV2013_code
- 用AAM算法进行人脸特征点的标定，即对人脸的眼睛，眉毛，嘴巴，鼻子及脸的轮廓进行标记，此代码标记了68个特征点-For face feature point calibration with AAM algorithm, namely the human face of the eyes, eyebrows, mouth, nose and face contour mark, this code marking the 68 feature points
Face_ASM
- 人脸的特征点检测，功能是检测一张图像中的人脸部分，然后标记人脸的特征点-Detection, face feature points in the images of the function is to detect a human face, then mark face feature points