搜索资源列表
opencv-
- Opencv软件，立体匹配，通过点击图上的点可得到其在物理环境的空间坐标-Opencv software, stereo matching, by clicking on the map point to get its physical coordinates in the physical environment
OpenCV--3427858Control_7662
- 源码OpenCV 3427858Control_7662是个不错的源码，同学们用来学习是不错的选择-OpenCV source code- 3427858 control_7662 is a good source, the students used to learn is a good choice
cluster
- 通过聚类分析识别肤色进而识别人脸，聚类使用opencv自带函数完成的，使用前需配库(cluster analysis facedetection)
角度识别-OPENCV
- vc++ 及OpenCV实现图像中原件的角度识别(Vc++ and OpenCV to achieve the image of the original angle recognition)
ConsoleApplication1
- 使用c++调用opencv对图像进行加杂讯处理，在visual studio中实现(Call OpenCV to add noise to the image processing)
光流法运动估计OpticalFlow
- 利用openCV，首先得到图像中的强边界作为跟踪的特征点，调用函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把结果过滤，去掉不好的特征点。把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlow
ImgReadAndDisplay
- Image read and display using opencv python code
KuGouController
- opencv手势识别控制播放器(hello)
day4
- opencv 基础练习 滤波 灰度图 二值化 阈值 均匀滤波(Foundation detection)
python-行人检测-可用
- 这是利用python+opencv编写的，行人检测代码，另配有检测样图，测试可用(this is a code for person detect,it function is normal)
opencv_3rdparty-ffmpeg-master_20160715
- opencv视频处理是用到的组件ffmpeg.dll(Opencv video processing is used to the component ffmpeg.dll)
bmp
- 利用opencv将jpg格式图像转化为bmp格式(Using OpenCV to convert JPG format images into bmp format)
SampleCapture
- opencv 制作样本的工具 用于训练数据(make samples for opencv traindata)
Nuevo
- xml hand opencv to recognised hand in a recrtangle. based in haar cascade method
opencv几何形状识别
- 可以获取摄像头图像并且检测出图像轮廓，识别图像中不同形状。画出外轮廓并且用标签进行标记。(Camera images can be obtained and detected image contours, recognition of different shapes in the image. Draw outward contours and mark with labels.)
CReadHoughCircle
- 可以提取图像上的圆形区域，比较好上手的opencv程序(You can extract the circular area of the image and compare the opencv program with good hands)
opencv实现标定
- 用opencv实现的相机标定，标定还不是太准确，应用张正友标定法(Using OpenCV to achieve the calibration of camera calibration is not too accurate, using the zhangzhengyou calibration method)
OpenCV配置
- openCV+VS2013 to configure
motion_src
- motion tracking using opencv pyhton
Source code
- 在opencv上实现双目测距主要步骤是： 1.双目校正和标定，获得摄像头的参数矩阵： 进行标定得出俩摄像头的参数矩阵 cvStereoRectify 执行双目校正 initUndistortRectifyMap 分别生成两个图像校正所需的像素映射矩阵 cvremap 分别对两个图像进行校正 2.立体匹配，获得视差图： stereoBM生成视差图 预处理： 图像归一化，减少亮度差别，增强纹理 匹配过程： 滑动sad窗口，沿着水平线进行匹配搜索，由于校正后左右图片平行，左图