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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\
contourDetect.rar
- 人脸检测+眼睛检测（模版匹配）+瞳孔检测+嘴唇检测（cameshift）,face detection+ eye detection( template match)+pupil detection+lip detection (camshift)
ImeneKhanfir
- FAST PUPIL LOCATION FOR BETTER IRIS DETECTION
Pupil_Detection
- iris segmentation ,pupil detection with out assuming it s circular or elliptical
IrisModelMethod
- 改程序对于输入的虹膜图像，采用圆形模板检测的方法，定位瞳孔内的一点-Reform program for the input iris image, using a circular template detection method, locate the point within the pupil
haodongxi
- 人眼虹膜识别的图像预处理，包括边缘检测，虹膜定位等，可以实现瞳孔的精定位-Recognition of human iris image preprocessing, including edge detection, such as iris, pupil of the fine positioning can be achieved
segmentiris
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
hysthresh
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
nonmaxsup
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
linecoords
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
circlecoords
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
houghcircle
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
gaborconvolve
- Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value
airimgwy
- 人眼虹膜识别的图像预处理，包括边缘检测，虹膜定位等，可以实现瞳孔的精定位-Human eye iris recognition, image preprocessing, edge detection, iris location, you can achieve the fine positioning of the pupil
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.
Houghtransform
- 基于hough变换瞳孔定位识别：使用灰度累加算子首先获得一个瞳孔内点，然后进行瞳孔分割、边缘检测、椭圆拟合，极端条件下也可实现瞳孔定位识别，鲁棒性很好-Based on the the hough transform pupil location identification: the use of gray-scale accumulation operator First a pupil within, and then split pupil, edge detection and ell
pupil
- 采用linux下的opencv进行人眼瞳孔检测-Opencv under linux pupil detection of the human eye
Total_circle
- Written in VC++, used for the pupil detection in eye image, based on the theory of Hough Transformation
Measuring-eyebal
- 是用于检测瞳孔的python代码，只能检测单个(Python code for pupil detection)
Iris-location-Algorithm-master
- 瞳孔检测，可以快速准确的定位到瞳孔，并且显示出黑白二值图像(Pupil detection, can quickly and accurately locate the pupil, and display the black and white binary image)