搜索资源列表
CameraStereoCalibration
- 使用opencv进行双目相机标定,先标定左相机后标定右相机，然后再进行立体标定-use opencv to calibration the stereo vision camera，first calibrate the left and right camera respectively and then calibration the extrinsic parameters of the two cameras
StereoVision_bak
- 改进后的OpenCV立体测距源码，可以在OpenGL中显示视差点云-The improved OpenCV 3D stereo distance measurement. Disparity 3D points data can be displayed with OpenGL
testStereoCamera
- opencv采集双目摄像机，注意：xp系统和win7系统摄像机索引号会不同，因此很多资料中的方法在win7中实现不了，需要改索引。-opencv stereo camera
StereoMatch
- 在立体标定的基础上，对OpenCV中涉及的两种立体匹配算法进行了实现。最后生成视差图像。-Based on the stereo calibration, two kinds of stereo matching algorithms in OpenCV are implemented . Finally, the disparity image is generated.
visualmatchingCPP
- 双目立体匹配的局部窗口可变C++程序,可在visual studio环境下编译运行，没有用到opencv-Binocular stereo matching local window variable C++ program can be compiled to run under visual studio environment, did not use opencv
Reconstuction3d
- OpenCV+OpenGL 双目立体视觉三维重建代码以及文档使用opencv进行立体匹配获取视差图，三角剖分使用opengl进行纹理贴图-OpenCV+OpenGL binocular stereo vision 3D reconstruction code and documents using OpenCV stereo matching to obtain disparity map, triangulation using opengl for texture mapping
VS-code
- 在opencv坏境下，实现立体匹配后期处理，增加最后效果-it can complete the last process after the Stereo Matching，which can improve the matching result
project
- 基于c++语言和opencv的视觉立体匹配(Visual stereo matching based on c++ language and opencv)
Python计算机视觉编程
- 本书介绍Python的计算机视觉编程，用清晰的Python示例，细致讲解对象识别、3D重建、立体图像、增强现实及其他计算机视觉应用技巧，给出了分析图像的工具与方法。内容：机器人导航、医学图像分析；图像映射与变换；多图像的3D重建；用聚类方法基于相似性和内容组织图像；基于视觉内容的图像检索技巧；实现图像内容分类和对象识别的算法；通过Python接口访问常用的OpenCV库。(This book introduces Python's computer vision programming. Wit