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AD Census

AD-Census立体匹配算法,中国学者Xing Mei等人研究成果(Respect!),算法效率高、效果出色,适合硬件加速,Intel RealSense D400 Stereo模块算法。完整实现,代码规范,注释清晰!

From ethan-li-coding·Updated June 20, 2026·View on GitHub·

AD-Census立体匹配算法,中国学者Xing Mei等人研究成果(Respect!),算法效率高、效果出色,适合硬件加速,Intel RealSense D400 Stereo模块算法。完整实现,代码规范,注释清晰,欢迎star! The project is written primarily in C++, distributed under the MIT License license, first published in 2020. Key topics include: 3d-reconstruction, ad, ad-census, census, depth-estimation.

AD-Census

AD-Census立体匹配算法,中国学者Xing Mei等人研究成果(Respect!),算法效率高、效果出色,适合硬件加速,Intel RealSense D400 Stereo模块算法。完整实现,代码规范,注释清晰,欢迎star!

<table> <tr> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/Data/Cone/im2.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/Data/Cone/im6.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/doc/exp/res/cone-d.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/doc/exp/res/cone-c.png"></center></td> </tr> <tr> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/Data/Cloth3/view1.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/Data/Cloth3/view5.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/doc/exp/res/cloth-d.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/doc/exp/res/cloth-c.png"></center></td> </tr> <tr> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/Data/Piano/im0.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/Data/Piano/im1.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/doc/exp/res/piano-d.png"></center></td> <td ><center><img src="https://github.com/ethan-li-coding/AD-Census/blob/master/doc/exp/res/piano-c.png"></center></td> </tr> <table>

环境

windows10 / visual studio 2015&2019
<br>代码基本没有使用系统api,你可以非常方便的移植到linux,可能需要做极少量的修改

第三方库

opencv310
<br>
百度网盘连接:https://pan.baidu.com/s/1_WD-KdPyDBazEIim7NU3jA
<br>
提取码:aab4
<br><br>
解压后放将名称为OpenCV的文件夹复制到到3rdparty文件夹下
<br><br>若运行时提示缺少opencv_310(d).dll,则在OpenCV文件夹里找到对应的dll文件复制到程序exe所在的目录即可(Opencv\dll\opencv_310(d).dll),带d为debug库,不带d为release库。
<br><br>
为便于移植,算法是不依赖任何图像库的,只在算法实验部分调用opencv库读取和显示图像,也可替换成其他图像库

论文

Mei X , Sun X , Zhou M , et al. <b>On building an accurate stereo matching system on graphics hardware</b>[C]// IEEE International Conference on Computer Vision Workshops. IEEE, 2012.

Github图片不显示的解决办法

修改hosts

C:\Windows\System32\drivers\etc\hosts

在文件末尾添加:

cpp
# GitHub Start 192.30.253.119 gist.github.com 151.101.184.133 assets-cdn.github.com 151.101.184.133 raw.githubusercontent.com 151.101.184.133 gist.githubusercontent.com 151.101.184.133 cloud.githubusercontent.com 151.101.184.133 camo.githubusercontent.com 151.101.184.133 avatars0.githubusercontent.com 151.101.184.133 avatars1.githubusercontent.com 151.101.184.133 avatars2.githubusercontent.com 151.101.184.133 avatars3.githubusercontent.com 151.101.184.133 avatars4.githubusercontent.com 151.101.184.133 avatars5.githubusercontent.com 151.101.184.133 avatars6.githubusercontent.com 151.101.184.133 avatars7.githubusercontent.com 151.101.184.133 avatars8.githubusercontent.com # GitHub End

Contributors

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This article is auto-generated from ethan-li-coding/AD-Census via the GitHub API.Last fetched: 6/20/2026