搜索资源列表
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
- 利用hough变换将一幅眼睛的灰度图像中的瞳孔边缘提取出来也可用于提取虹膜的边缘。-Using hough transform extracted from the edge of the pupil in the grayscale image of a pair of glasses can also be used to extract the edge of the iris.
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.
track_eye_pupil
- 根据颜色识别瞳孔 C++代码 文件名：track_eye_pupil.c-Identify pupil based on color
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
pupil-localization
- 本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。-Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey valu
iris-normalization
- 本代码是利用灰度极小值的方法成功完成了虹膜瞳孔定位，并利用线性差值法对虹膜进行归一化处理，归一化的目的是方便对图像的进一步处理。-This code is the use of gray minimum method successfully completed the pupil, location, and linear differential method is used to analyse the iris normalization processing, the purpose
align
- 该程序用于照片的归一化和瞳孔对准。 其中ImageRotate函数用于将偏转的头像转正，用于歪头的情形，转头的情形不适合。 ImageZoom函数将照片变得与基准照片一个尺度，即所有照片的瞳孔间距与基准照片的瞳孔间距相同。 ImageAlign函数用于对准瞳孔，通过偏移，将所有照片的瞳孔位置变得与基准照片的瞳孔位置一致。- This procedure for photos normalized and pupil alignment. For the deflecti
Pupil-identification-system-code
- 识别图像中人眼的瞳孔的位置，确定瞳孔的中心位置，实现瞳孔定位-Pupil identification system code
loacation_nornmalization_iris
- 采用最小均方差法对虹膜瞳孔定位，虹膜外圆定位，归一化及其增强处理，圆拟合-Using least-mean-variance method of positioning the iris pupil, iris outer location, normalized and enhanced handling, circle fitting
detecting
- 检测人脸、人眼、瞳孔、眼角、鼻子、嘴角，源码在内，非常实用，值得学习-Face detection, eye, pupil, eyes, nose, mouth, including source code, very useful, it is worth learning
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
eye
- 对眼睛瞳孔进行精确定位，完整的工程和代码，方便快捷-Precise positioning on the eye pupil, complete project and code, quick and easy
PupilCheck
- 基于opencv实现瞳孔检测,图像处理，人脸识别-pupilcheck based on opencv
iris
- 基于眼睛图像的集合特征，提出了一种基于最长弦的瞳孔定位算法，算法与传统瞳孔定位算法相比，在准确度和速度方面具有优势-Based on the eye image collection features, this paper proposes a pupil location algorithm based on the longest string, algorithm is compared with the traditional pupil localization algorithm,
Iris-Segmentation
- 使用hough变换等实现瞳孔的检测，详细的介绍见博客http://blog.csdn.net/computerme/article/details/411217-Iris segmentation base on Hough transform and other technics.
Iris_Recognition_Matlab
- 基于模式匹配和区域分割的瞳孔识别算法，自带测试图片库。-Region segmentation based on pattern matching and pupil recognition algorithm, has a test gallery.
location-pupil-based-on-Hough
- 导入人脸图像，根据Canny算法查找第一个边缘点，搜索邻域边缘点以最后一个边缘点作为新起点，进行下一轮搜索，初始化Hough矩阵确定瞳孔边缘界限计算瞳孔面积，定位瞳孔圆心坐标-Import facial image, according to Canny algorithm to find the first edge point, the search neighborhood edge point to the last point of the edge of a new starting
tongkong
- 基于VS2010的简单的瞳孔检测程序，可以快速定位人的瞳孔，有助于初学者的学习！-This is the simper paragram to detect your pupil!