搜索资源列表
haarcascade_lefteye_2splits
- 人眼的检测，分类器，只有和opencv一起用才好使-Detection of the human eye, classifier, and only used to do so with opencv
tmpOflearningOC
- 处理眼瞳孔识别，使用VC，opencv，等等。自己根据别人的源码修改使用的。-Treated eye iris recognition using VC, opencv, and so on. According to modify their use of other people' s source.
VC-PH
- 球面坐标定位法校正鱼眼图像畸变，使用visual studio 2008 编写，需要OpenCV的支持-Spherical coordinates locating fish eye image distortion correction, prepared using visual studio 2008, requires the support of OpenCV
eyetracking
- Tracking a user defined template in an image (such as user s eye) for computer vision application. Built using OpenCV
Source_Code_SSIP_2009
- eye tracking in opencv visual studio 2005
detect_eye_webcam_xml
- opencv eye detection webcam
eye-classifier
- 已经训练好的人眼检测分类器，可以直接用于opencv中，方便大家学习-Detection of the human eye has been trained classifier, can be directly used in opencv, to facilitate learning
eye-dection
- 人眼检测,含有源码，opencv运行，用C++完成-eye detection
eye-capture
- eye detection opencv
OpenCV
- 基于opencv和vc++6.0实现的人脸检测，鼻子，嘴巴检测，眼睛检测。AVI播放器，手写数字识别，图像缩放等。-The opencv and vc++6.0 of realized based face detection, nose, mouth detection and eye detection. AVI player, handwritten numeral recognition, image scaling.
bird-eye
- 鸟瞰图代码,介绍opencv中鸟瞰图是如何实现的，这段代码很实用-Aerial view of the code, describes how opencv in bird s-eye view is achieved, this code is very useful
Face-Detection-and-Eye-Detection-using-OpenCV-Tut
- FACE AND EYE DETECTION USING OPENCV
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-detection
- opencv人眼检测算法，此算法是基于haar分类器的简单算法，可以实现摄像头视频的实时监测。算法简单但是很是实用，所以上传与大家分享-opencv eye detection algorithm, which is a simple algorithm based on haar classifier, can achieve real-time video surveillance camera. Algorithm is simple but very practical, so uplo
source_eye tracking
- 眼球跟踪源代码，可以实现眼球识别，并显示眼球相对坐标位置。(Eye tracking source code, you can achieve eye recognition, and show the relative coordinates of the eye position.)
人脸识别
- 使用OPENCV库提供的接口，实现人脸的识别功能。 在一个人脸识别系统中，应用多种预处理技术对将要识别的图片进行标准化处理是极其重要的。多数人脸识别算法对光照条件十分敏感，所以假如在暗室训练，在明亮的房间就可能不会被识别出来等等。比如脸部也应当在图片的一个十分固定的位置（比如眼睛位置为相同的像素坐标），固定的大小，旋转角度，头发和装饰，表情（笑，怒等），光照方向（向左或向上等），这就是在进行人脸识别前，使用好的图片预处理过滤器十分重要的原因。你还应该做一些其它事情，比如去除脸部周围的多余像素（
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)
haarcascades
- 可以在 opencv安装目录opencv\sources\data中找到。方便大家下载，故上传在这里。人脸检测，人脸识别，人眼检测，鼻子检测，嘴检测等等训练好的xml文件(You can find it in the opencv installation directory opencv\sources\data. Convenient for everyone to download, so upload here. Face detection, face recognition, eye
fnder_principle
- matlab下对眼图进行模拟,可以进一步帮助理解眼图的原理,不错的(To eye diagram is simulated under matlab, we can further help understand the principle of eye diagram, pretty good)