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cvgabor
- 这里包含高质量的Gabor实现代码,基于OpenCV。Gabor变换可以实现在多个尺度、多个方位上的变换,尤其是对于纹理的检测有很好的效果,研究表明Gabor特征符合人眼感受野特性。 -Gabor included here to achieve high-quality code, based on OpenCV. Gabor transform can be achieved in multiple scales, multiple orientations of the transform
HGabormatlab_e
- 这里包含三个高质量的Gabor实现代码,分别基于C、OpenCV、Matlab,大家各取所需吧。Gabor变换可以实现在在多个尺度、多个方位上的变换,尤其是对于纹理的检测有很好的效果,研究表明Gabor特征符合人眼感受野特性。 已通过测试。 -Here are three of the Gabor to achieve high-quality code, respectively, based on C, OpenCV, Matlab, we take what we need it.
hough
- 基于OpenCV的Hough变换结合Canny边缘检测的人眼瞳孔检测算法。-Combination of the Canny edge detection of the human eye pupil detection algorithm based on OpenCV Hough transform.
TrackEye_src
- 人眼定位检测,用opencv实现的源码,可以在此基础上继续修改更新。-The human eye position detection with opencv source code, you can continue on this basis, revised and updated.
tuxiangpinjiejiaodianpipei
- 针对基于自适应光学技术的人眼眼底待拼接图像灰度、清晰度不一致以及细节的差异使检测出的角点无法匹配,进而导致图像不能拼接的问题,提出一种在OpenCV配置环境下角点检测的基础上,进行角点匹配的新方法-Adaptive optics for the human eye fundus to be gray stitching, inconsistent, and details of the differences in definition so that the detected corners
pupil
- 采用linux下的opencv进行人眼瞳孔检测-Opencv under linux pupil detection of the human eye
eyesdetect
- 这是一个基于opencv的人眼检测程序,并且可以看到调试的结果,现分享给大家-This is based opencv eye detection program, and you can see the results of debugging, we now share
Opencvtest
- 通过对于opencv的应用,实现动态实时人脸检测与人眼检测。-with OpenCv perpareing functions that make it posibal to aotumatically follow an AVI vediow then tracking facies and eyes.
HYPERLINK
- 人眼检测基于opencv人眼定位算法 很详细实用-eye detection
EyeDetector
- 基于opencv实现摄像头下对人眼的识别检测,并圈出来-Realization camera to identify the human eye to detect
Fatigue-detection
- 疲劳检测,通过opencv实现人脸人眼识别和疲劳检测 -Fatigue detection by opencv for face recognition and eye fatigue detection
eyedetect
- 利用opencv实现半实时性实现人脸、人眼检测。代码简便,容易理解。-Use opencv achieve semi-real-time realization of the human face, the human eye to detect. Code is simple, easy to understand
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
DetectEyes
- 运用C++检测人眼, 2)用opencv中检测人脸、眼睛、嘴巴等都是用的CascadeClassifier分类器,具体使用时可以使用C的函数,也可以使用opencv中使用C++封装好的类。下面是它们检测目标时的函数形式(从opencv官网复制的) C: CvSeq* cvHaarDetectObjects(const CvArr* image, CvHaarClassifierCascade* cascade, CvMemStorage* storage, double scal
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
face-recognition
- 利用opencv实现人脸识别与跟踪(人眼检测)。-opencv face recognition
test
- 图像处理 opencv3.1.0+win10+vs2015 本地视频人脸人眼定位(Image processing, opencv3.1.0+win10+vs2015, local video, face, eye location)
eyeLike-master
- 人眼中心定位是一个用于眼部追踪的算法,C++语言实现,依赖OpenCV库。 关于代码的编译,提供了CMakeLists.txt文件,同时支持Windows,Linux和Mac OS X。 该项目从网络摄像头读取视频,进行人脸检测,再根据检测到的人脸图像截取左眼和右眼的ROI区域,最后根据截取到的ROI进行眼球中心检测与跟踪。所以算法的主要包含三个部分:人脸检测,ROI截取,眼球中心定位。(The estimation of the eye centres is used in sever