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pupildetectOK
- 在VC6.0环境下,借助openCV函数库,对视频中的人脸进行检测,并实时跟踪,然后用Haar特征的分类器定位人脸,并检测瞳孔存在与否,提取关于眼睛的疲劳信息-In VC6.0 environment, with the aid of openCV function library, to detect human faces in video, and real-time tracking, positioning and use characteristics of Haar classif
Facial-feature-detection
- 程序实现人脸特征的检测和定位,可以识别并标注眉毛,眼睛,鼻子,嘴巴以及耳朵。能用于单人和多人脸图的检测识别,效果不错。-This is a human facial feature detection and location program. It can be applied to detect both single and multiple face images.
Eye-state-dectect-base-on-iris
- 利用虹膜检测来对眼睛状态的检测,软件运行环境为matlab,本文详细介绍基于虹膜的闭眼检测方法-This paper introduce the way of detect eye state base on Iris in detail ,SW environment is Matlab
face-pose-angle-determined
- 对人脸图像进行检测,然后根据灰度信息定位出眼睛、嘴巴的位置,并根据这三个位置计算人脸偏转的角度-Face image detection, and then locate the information in accordance with the gray eyes, mouth position and face deflection angle is calculated based on these three locations
FaceDetectionCPP
- MFC实现的人脸检测,可以检测人脸位置,并标记眼睛、嘴巴、鼻子。没有使用OPENCV库函数,完全C语言实现。-MFC implementation of face detection that can detect human face position, and mark the eyes, mouth, nose. OPENCV library function is not used entirely in C language implementation.
face-detective
- 人脸图像中,眼镜遮挡对于人脸检测会有很大的影响,在可见光下采集图像将会由于眼镜的反光及框架的遮挡造成的人脸特征变化而不易检测,而眼睛及其周边特征又是人脸图像识别中十分重要的识别因素,考虑到这个问题,本题决定对人脸图像中的眼镜进行检测并消除,从而清楚的检测出消除眼镜后的人脸图像。-Face images, shutter glasses for a great impact face detection will, who capture images in visible light will
face-image
- 人脸图像中,眼镜遮挡对于人脸检测会有很大的影响,在可见光下采集图像将会由于眼镜的反光及框架的遮挡造成的人脸特征变化而不易检测,而眼睛及其周边特征又是人脸图像识别中十分重要的识别因素,考虑到这个问题,本题决定对人脸图像中的眼镜进行检测并消除,从而清楚的检测出消除眼镜后的人脸图像。-Face images, shutter glasses for a great impact face detection will, who capture images in visible light will
Estimation-of-Eyeglassles
- 人脸图像中,眼镜遮挡对于人脸检测会有很大的影响,在可见光下采集图像将会由于眼镜的反光及框架的遮挡造成的人脸特征变化而不易检测,而眼睛及其周边特征又是人脸图像识别中十分重要的识别因素,考虑到这个问题,本题决定对人脸图像中的眼镜进行检测并消除,从而清楚的检测出消除眼镜后的人脸图像。-Face images, shutter glasses for a great impact face detection will, who capture images in visible light will
homework_threefinal
- 基于Emgu cv 的眼睛疲劳检测 ,有一定的精准度-Based on the eye fatigue detection Emgu cv
facetectOJinYueFeng
- 基于人眼的疲劳检测,根据眼睛的张合度判断眼睛是否疲劳-Based on the human eye fatigue detection, according to Zhang eye fatigue degree determine whether the eye
eye
- 人脸检测时,眼睛的特征的定位,特征提取,在MATLAB上的实现-Face Detection, positioning the eye feature, feature extraction, implemented on MATLAB' s
face
- 人脸检测,通过对眼睛扫描识别人脸,对人脸识别极其有用-Face detection, through the eyes scanning recognize faces
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
Face-detection
- 可以直接运行的人脸检测系统与人脸定位系统,不仅可以检测出人脸,而且可以标出眼睛鼻子嘴巴等部位,基于vs开发的系统-Can be run directly face detection and face positioning systems, not only can detect the human face, and can be marked in areas such as the eyes nose mouth, vs development system can be run dir
Adaboost-eye
- 基于Adaboost的人脸检测方法及眼睛定位算法研究-Research on face detection and eye location algorithm based on Adaboost
faceCheck
- 简单的人脸检测,找到人的脸,而不管他是谁的脸,包括人脸与眼睛的检测。-Simple face detection, find a person s face, regardless of who he is in the face, including the face and eyes detection, face recognition is the most basic.
face-detection
- 检测人脸,基于opencv的C++编程。利用了脸部两个眼睛及椭圆形脸来识别检测人脸。-Face detection, C++ programming opencv based. Use of both eyes and face, oval face detection to identify faces.
facedetection(ycbcr)
- 首先实现基于肤色的人脸检测与追踪,然后可以定位眼睛的位置。-first it can detect face and tracking based on skin color,then it can detect the location of the eyes.
Haar
- 用python语言实现的基于Harr特征的人脸检测算法,可以用于人脸的检测,眼睛,鼻子等脸部五官的检测-Using python language based on the Harr feature-based face detection algorithm can be used for the detection of face, eyes, nose and other facial features detection
aam-matlab
- ASM算法 MATLAB源代码 人脸特征点定位的目的是在人脸检测的基础上,进一步确定脸部特征点(眼睛、眉毛、鼻子、嘴巴、脸部外轮廓)的位置。定位算法的基本思路是:人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mou