资源列表
matcher_simple
- 这个程序演示了如何使用features2d检测，描述符提取和简单的匹配,环境VC++2010，基于opencv2.4.2。-This program demonstrates using features2d detector, descr iptor extractor and simple matcher
video_homography
- 这个程序演示了使用features2d的快速角点检测,其中有简单的英文描述，学习角点检测的学者们可以看看如何加速-This program demonstrated the use of features2d with the Fast corner detector and brief descr iptors.
select3dobj
- 这个程序的目的是为了收集数据集的一个对象和分割区域.它展示了如何使用相机的校准模式来计算校准模式是平面的单应性。-This program s purpose is to collect data sets of an object and its segmentation mask.It shows how to use a calibrated camera together with a calibration pattern to compute the homography of th
minarea
- 这个程序演示了如何发现的最小外接盒或圆形的一个点集使用功能：minAreaRect（）minEnclosingCircle（）。-This program demonstrates finding the minimum enclosing box or circle of a set of points using functions: minAreaRect() minEnclosingCircle().
on_mouse
- openCV 中鼠标的操作，使用回调函数获取鼠标的点击动作，例子很简单，有学习价值。-openCV mouse operation, use the callback function to get the mouse click action, for example, is very simple, the value of learning.
letter_recog
- 此示例演示如何训练随机树分类，运行环境VC++2010, 基于Opencv2.4.2。-The sample demonstrates how to train Random Trees classifier
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.
CarStreamTest
- 可分别对视频中的四个车道的车流数目进行统计 ，采用的的基于OpenCV+VC2008编程，车车辆识别采用背景差分法和邻帧检测法-Video can be respectively on the four lane number traffic statistics, the based on OpenCV+ VC2008 programming, the car vehicle identification adopted the background difference method and
DrawLine
- 在VC下用OpenCV在调取出来的图片上画线-In the VC use in obtaining OpenCV out the image of the painting line
KaewTraKulPong
- opencv中混合高斯模型实现方法的参考文献-An Improved Adaptive Background Mixture Model for Real-time Tracking and Shadow Detection
TrackEye_SourceCode
- 跟踪人的眼睛，类似人脸识别算法中的adaboost，通过学习人眼模式，实现人眼检测跟踪。-Tracking people' s eyes, similar face recognition algorithm adaboost by learning human eye model, detecting and tracking the human eye.
mutil_hand_segmention
- 这篇文章主要是介绍多个手部的分割，是在前面的博文：不需要骨骼跟踪的人体手部分割 的基础上稍加改进的。因为识别有的一个应用场合就是手势语言识别，而手势一般都需要人的2只手相配合完成，因此很有必要对人体的多个手部来进行分割。-The article introduced hand split, in front of the Bowen: does not require tracking of human hand bones split on the basis of a little impr