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blinkDetector
- 国外著名大学成功的人脸检测识别算法中的眨眼检测-famous University of face detection and recognition algorithms detect the blink of an eye
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 Source: video 选择文件输入指定为： ..\Avis\
45353453
- 非常好的人脸以及人眼检测的例子。OpenCV支持的目标检测的方法是利用样本的Haar特征进行的分类器训练，得到的级联boosted分类器（Cascade Classification）。注意，新版本的C++接口除了Haar特征以外也可以使用LBP特征。-Very good example of the human face and the human eye to detect. OpenCV supported target detection method is carried out us
LED_rand
- 实验名称：随机数产生实验 功能描述：通过简单的IO操作和延时控制，实现随机跑马灯效果。 实验目的：熟悉简单IO操作。 理解位操作的概念和操作方法。 了解人眼对显示的分辨能力。 学习随机数产生函数的使用。 实验说明：MCU--M128 内部8M晶振 自行修改延时可以改变跑马灯的变幻速度，注意当变换速度超过25帧/秒时，人眼将无法分辨。 硬件连接：插上LEDEN（JMP15）的跳线帽。-Experiment name: experimental
detectdriverfatigue
- 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲 劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法-Images by the human eye to detect driver fatigue is the main driving direction, face and eye location is the key link. For driver fatigue detection system that
ImageLoad
- detect face and eye from webcam opencv
Fast-Eyetracking
- 该源代码能够检测人脸中的特征点，并根据特征点进行眼睛区域跟踪。-The source code is able to detect feature points in the face and eye area according to feature points tracking.
spie10b
- Image Forensic Analyses that Elude the Human Visual System While historically we may have been overly trusting of photographs, in recent years there has been a backlash of sorts and the authenticity of photographs is now routinely questioned. B
saliency-object-or-region-detection
- 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological character
IMECS2010_pp130-133
- This paper presents a novel adaptive algorithm to detect the center of pupil in frontal view faces. This algorithm, at first, employs the viola-Jones face detector to find the approximate location of face in an image. The knowledge of the face
A-fast-Iris-Location-Algprithm
- 根据眼睛图像的几何特性，提出了一种基于最长弦的瞳孔定位算法，该算法能快速地检测到瞳孔的位置。-According to the eye image geometric characteristic, proposed one kind based on the longest string of pupil location algorithm, the algorithm can quickly detect the position of the pupil.
DataHiding
- 用调幅法在彩色图像中嵌入秘密信息的算法。人眼对蓝色较为不敏感，并且不易察觉图像高灰度(Luminance)区域和高频区域的变化，因此，秘密信息被嵌入到图像的蓝色通道，并且秘密信息的嵌入强度与该点的灰度值成正比。这样，秘密信息所引起的视觉效果上的改变是很小的。-The algorithm of the secret information embedded in color images using amplitude modulation method. The human eye is not
bothilids00
- detect eyelids on eye images
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
Image-processing
- 利用Opencv函式庫做一些影像處理，有Gray、Canny、drawing、binary、fisheye-lens、Anaglyph、Equalization、eye-detect、facedetect、Mirror、R-S，等功能...此Source要有Opencv函式庫才能此用。-Opencv use library to do some image processing, there is Gray, Canny, drawing, binary, fisheye-lens, Anagl
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
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.
Circular-Hough-Transform-in-eye-and--iris-detecti
- In this source code we used the Circular Hough Transform to detect size of iris and also opening and closing of eyes.-In this source code we used the Circular Hough Transform to detect size of iris and also opening and closing of eyes.
opencv-detect-face
- 利用opencv实现对人脸和眼睛的识别！-Using OpenCV to read the image of the camera to face and eye recognition!
Eye-on-Grideye-master
- 图像的人数统计，可以用于检测图像中的人员数目，有一定准确度。(The statistics of the number of people in the image can be used to detect the number of people in the image and have a certain degree of accuracy.)