搜索资源列表
StereoEvaluating
- OpenCV支持的三种双目立体视觉算法BM，SGBM，GC综合比较，输出视差效果-Evaluating BM，SGBM，GC algorithm..
StereoVisionVS2008
- 双目立体视觉，采用两张图像恢复三维形状，外国人的一个开源项目。-System Prototype to make 3D reconstruction solution using stereo images. It works with common cameras and not require large amount of memory during the images processing. It provides a low cost solution to educational
stereosgbm
- opencv中自带的sgbm算法（半全局匹配）的源代码，具有很好的立体匹配效果，是opencv中自带算法中速度和效果较好的一种。-Sgbm algorithm with OpenCV (semi global matching) of the source code, has the very good effect of stereo matching, opencv comes with the speed and the effect of a good algorithm.
stereo_match
- 进行立体匹配的相关算法，包含BM,SGBM,VAR等方法-Correlation stereo matching algorithms, including BM, SGBM, VAR and other methods
stereosgbm
- openCV自带的SGBM算法，效果很好-openCV comes SGBM algorithm works well
sgbm
- sgbm的c++实现，已经在linux下编译，用call_sgbm.sh即可调用。-A implementation of sgbm, already compiled under linux, you can use it by call call_sgbm.sh.
SGBM
- Semi Block matchin algorithm with C++ OpenCV
project
- 基于c++语言和opencv的视觉立体匹配(Visual stereo matching based on c++ language and opencv)
SGBM
- python3.7实现SGBM算法实现立体匹配计算视差图(Python3.7 implements SGBM algorithm to realize stereo matching and calculate parallax graph)
5
- python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
附件05-Demo演示代码
- 双目相机与计算机连接后进行拍照，图片抓取，视频拍摄，人脸检测，Canny边缘检测，BM算法与SGBM算法进行立体匹配测距的实现。(The binocular camera is connected with the computer to take pictures, capture pictures, take videos, detect faces, Canny edge detection, BM algorithm and sgbm algorithm for stereo match