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renlianjiance
- 人脸检测测试程序, 提供了图像预处理, 人脸区域检测, 人嘴检测, 人眼检测, 人嘴检测的算法和实现.
TrackEye_src.zip
- 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 Sou
facedetectionandlocation
- 用Visual c++ 实现的人脸检测和定位的代码，其中结合了肤色信息，包括了人眼的定位-with Visual c achieve the Face Detection and localization of the code, which combines the color information, including the positioning of the eyes
FaceDetection
- 完成人脸检测、人眼定位和嘴巴定位.把得到的人脸区域用绿色矩形标注，处理竖直的两条边-Complete face detection, the human eye and mouth positioning positioning. To get face region marked by the green rectangle, deal with the two vertical edges
renlianjiance
- 人脸检测测试程序, 提供了图像预处理, 人脸区域检测, 人嘴检测, 人眼检测, 人嘴检测的算法和实现.-Face detection test procedures to provide image preprocessing, face region detection, human mouth detection, eye detection, mouth detection algorithm people and realize
Surveyonhumaneyesdetectioninimages
- 对在已知人脸区域中检测人眼的方法进行综述, 将其分为常光源下的人眼检测和特种光源的人眼检测 两大类。较为全面地综述了当前国内外相关眼睛检测以及定位技术, 分析了各种方法的优缺点, 探讨了当前困 扰人眼检测技术的难点以及人眼检测技术的发展趋势。-This paper supplied a survey of the eyes detection in the area of the known face images by div
TrackEye_SourceCode
- 基于opencv的人脸和人眼检测程序，mfc界面，功能强大，简洁好用-Opencv-based human face and the human eye testing procedures, mfc interface, a powerful, simple and easy to use
eyelocation_baseonwholeimage
- 一个人眼定位程序.比较好的算法.可供开发人眼检测和人脸识别用!-A human eye locator. Better algorithms. For the development of the human eye detection and face recognition with!
sdi_opencv
- 运用VC软件做的一个基于OPENCV的人脸识别系统，在检测人脸的基础上能对人眼和嘴巴进行识别。-Use the software to do a VC OPENCV based face recognition system, based on face detection can identify the eyes and mouth.
Face-Detection
- 基于Adaboost级联分类的人脸和人眼检测，其中的三个xml是Adaboost分类器参数-Adaboost cascade based on the human face and eye detection, three of which are Adaboost classifier parameters xml
CascadeClassifierTest
- 基于OpenCV CascadeClassifier的人脸和人眼检测代码,用到两个训练好的分类器-Good classifier based the OpenCV CascadeClassifier face and eye detection code, used in the two training
Cpp1
- adaboost算法用于检测人脸人眼。。。该用法能快速准确的定位人脸和人眼-adaboost algorithm is used to detect the face of the human eye. . . The usage of fast and accurate positioning human face and the human eye
haarcascades
- 此码源为训练后的人脸和人眼检测数据，可用于进行人脸和人眼检测-This code of face and eye detection data source for after training, can be used for face and eye detection
face-and-eye-detection-segmentation
- 利用形态学方法，通过腐蚀膨胀进行人脸分割和人眼检测-Using morphological methods of face and eye detection segmentation
face-and-eyes-detect
- 基于visual studio编译环境下的opencv的人脸和人眼检测-face and eyes detect
detect
- 基于opencv的haar+adaboost训练器的人脸和人眼检测，带有训练好的xml文件。-Opencv based haar+ adaboost face and eye detection trainer, having trained xml file.
face_detect
- 基于opencv实现实时从视频流中检测人脸和人眼，检测模板为haar特征模板，可以自己训练，也可以采用opencv自带的模板。-opencv face detect
faceaeye-detection
- 基于MATLAB的人脸检测和人眼检测的程序，适合初学者使用。-face&eye detection based on matlab
人眼检测
- 检测一幅图像中的人脸和人眼，分别绘制出来(To detect the face and human eyes in an image, draw them separately)
face_eye_detection
- 本工程运行环境为VS2013+OPENCV2.4.10，打开摄像头即可检测到人脸和眼睛，直接把主函数换成txt文档中程序就可运行(The operation environment of this project is VS2013+OPENCV2.4.10. The face and eyes can be detected by opening the camera. The program can be run directly