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danmu

于 2020-03-23 发布
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说明：  基于opencv平台编写的单目相机标定程序，使用的张正友的方法，只要准备十二张单目相机拍摄的棋盘格的图片就可以标定出单目相机的焦距等参数，建立单目相机坐标系。可以用于机器视觉测量中，也可以用于双面相机标定的前一步，精度很高。(Based on the monocular camera calibration program compiled by the OpenCV platform, the method of Zhang Zhengyou is used to calibrate the focal length and other parameters of the monocular camera and establish a monocular camera coordinate system as long as 12 pieces of chessboard pictures taken by the monocular camera are prepared. It can be used in machine vision measurement, and it can also be used in the previous step of the calibration of the double-sided camera, with high precision.)

文件列表：

danmu\.vs\danmu\v15\.suo, 27136 , 2020-01-30
danmu\.vs\danmu\v15\Browse.VC.db, 3284992 , 2020-01-30
danmu\.vs\danmu\v15\ipch\AutoPCH\DANMU-d6674eff\DANMU-3784a836\DANMU.ipch, 21561344 , 2020-01-30
danmu\danmu\danmu.cpp, 6137 , 2016-08-15
danmu\danmu\danmu.vcxproj, 4766 , 2020-01-30
danmu\danmu\danmu.vcxproj.filters, 943 , 2016-03-01
danmu\danmu\danmu.vcxproj.user, 221 , 2020-01-30
danmu\danmu\Debug\cl.command.1.tlog, 654 , 2016-08-15
danmu\danmu\Debug\CL.read.1.tlog, 20236 , 2016-08-15
danmu\danmu\Debug\CL.write.1.tlog, 340 , 2016-08-15
danmu\danmu\Debug\danmu.Build.CppClean.log, 2424 , 2016-08-15
danmu\danmu\Debug\danmu.exe.embed.manifest, 406 , 2016-08-15
danmu\danmu\Debug\danmu.exe.embed.manifest.res, 472 , 2016-08-15
danmu\danmu\Debug\danmu.exe.intermediate.manifest, 381 , 2016-08-15
danmu\danmu\Debug\danmu.lastbuildstate, 76 , 2016-08-19
danmu\danmu\Debug\danmu.log, 885 , 2016-08-19
danmu\danmu\Debug\danmu.obj, 114216 , 2016-08-15
danmu\danmu\Debug\danmu.vcxprojResolveAssemblyReference.cache, 707 , 2016-08-19
danmu\danmu\Debug\danmu.write.1.tlog, 0 , 2016-08-15
danmu\danmu\Debug\danmu_manifest.rc, 200 , 2016-08-15
danmu\danmu\Debug\link-cvtres.read.1.tlog, 2 , 2016-08-15
danmu\danmu\Debug\link-cvtres.write.1.tlog, 2 , 2016-08-15
danmu\danmu\Debug\link.18556-cvtres.read.1.tlog, 2 , 2016-04-07
danmu\danmu\Debug\link.18556-cvtres.write.1.tlog, 2 , 2016-04-07
danmu\danmu\Debug\link.18556.read.1.tlog, 2 , 2016-04-07
danmu\danmu\Debug\link.18556.write.1.tlog, 2 , 2016-04-07
danmu\danmu\Debug\link.5376-cvtres.read.1.tlog, 2 , 2016-08-15
danmu\danmu\Debug\link.5376-cvtres.write.1.tlog, 2 , 2016-08-15
danmu\danmu\Debug\link.5376.read.1.tlog, 2 , 2016-08-15
danmu\danmu\Debug\link.5376.write.1.tlog, 2 , 2016-08-15
danmu\danmu\Debug\link.command.1.tlog, 1836 , 2016-08-15
danmu\danmu\Debug\link.read.1.tlog, 4060 , 2016-08-15
danmu\danmu\Debug\link.write.1.tlog, 744 , 2016-08-15
danmu\danmu\Debug\mt.command.1.tlog, 372 , 2016-08-15
danmu\danmu\Debug\mt.read.1.tlog, 164 , 2016-08-15
danmu\danmu\Debug\mt.write.1.tlog, 310 , 2016-08-15
danmu\danmu\Debug\rc.command.1.tlog, 508 , 2016-08-15
danmu\danmu\Debug\rc.read.1.tlog, 282 , 2016-08-15
danmu\danmu\Debug\rc.write.1.tlog, 290 , 2016-08-15
danmu\danmu\Debug\vc100.idb, 543744 , 2016-08-15
danmu\danmu\Debug\vc100.pdb, 905216 , 2016-08-15
danmu\danmu\Distortion-l.txt, 271 , 2016-08-19
danmu\danmu\Distortion-r.txt, 270 , 2016-08-19
danmu\danmu\Distortionl (2).txt, 270 , 2016-04-07
danmu\danmu\Distortionl.txt, 270 , 2016-04-07
danmu\danmu\Distortionr (2).txt, 270 , 2016-04-07
danmu\danmu\Distortionr.txt, 270 , 2016-04-07
danmu\danmu\Intrinsics-l.txt, 267 , 2016-08-19
danmu\danmu\Intrinsics-r.txt, 267 , 2016-08-19
danmu\danmu\Intrinsicsl (2).txt, 267 , 2016-04-07
danmu\danmu\Intrinsicsl.txt, 267 , 2016-04-07
danmu\danmu\Intrinsicsr (2).txt, 267 , 2016-04-07
danmu\danmu\Intrinsicsr.txt, 267 , 2016-04-07
danmu\danmu\list.txt, 238 , 2016-08-19
danmu\danmu.sdf, 13651968 , 2016-08-19
danmu\danmu.sln, 882 , 2016-02-29
danmu\danmu.suo, 12800 , 2016-08-19
danmu\Debug\danmu.exe, 39936 , 2016-08-15
danmu\Debug\danmu.ilk, 394596 , 2016-08-15
danmu\Debug\danmu.pdb, 1248256 , 2016-08-15
danmu\ipch\danmu-3c430f66\danmu-25a88cc1.ipch, 57081856 , 2016-08-19
danmu\ipch\danmu-561645db\danmu-25a88cc1.ipch, 57081856 , 2016-04-07
danmu\单目原理.doc, 243200 , 2016-02-29
danmu\单目标定.doc, 33280 , 2016-02-26
danmu\输出-生成.txt, 889 , 2016-03-01
danmu\输出-调试.txt, 8156 , 2016-03-02
danmu\.vs\danmu\v15\ipch\AutoPCH\DANMU-d6674eff\DANMU-3784a836, 0 , 2020-01-30
danmu\.vs\danmu\v15\ipch\AutoPCH\DANMU-d6674eff, 0 , 2020-01-30
danmu\.vs\danmu\v15\ipch\AutoPCH, 0 , 2020-01-30
danmu\.vs\danmu\v15\ipch, 0 , 2020-01-30
danmu\.vs\danmu\v15, 0 , 2020-01-30
danmu\.vs\danmu, 0 , 2020-01-30
danmu\danmu\Debug, 0 , 2017-04-17
danmu\danmu\image, 0 , 2020-03-23
danmu\ipch\danmu-3c430f66, 0 , 2017-04-17
danmu\ipch\danmu-561645db, 0 , 2017-04-17
danmu\.vs, 0 , 2020-01-30
danmu\danmu, 0 , 2017-04-17
danmu\Debug, 0 , 2017-04-17
danmu\ipch, 0 , 2017-04-17
danmu, 0 , 2020-01-30

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  • 24368
    程序将界面与数据处理分开，界面采用MFC的对话框模板，对注册、训练、识别和主界面分别建立一个类，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理又分为了CFaceAlign（人脸检测+几何归一化）、CLightPrep（光照归一化）、CFaceFeature（Gabor特征提取）、CSubspace（计算Fisherface子空间）四个类，还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立，互不影响。 每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.)
    2015-04-13 10:05:34下载
    积分：1
  • SIFTVC6
    sift角点检测及匹配，在不同尺度空间下的角点检测方法，很方便实用。(sift corner detection and matching, the corner detection methods under different scales of space, it is convenient and practical.)
    2013-12-08 17:25:35下载
    积分：1
  • Project_BFS
    任务：用BFS或是DFS对图进行搜索，实现任何拓扑不连通的块的计算，算法要求写在CBFSSearch类中 工程名：Project_BFS 要求：对于生成的任意拓扑，求出其分枝个数，并输出每个分枝的节点 (Task: Using BFS or DFS for searching the graph to achieve any topology unconnected blocks calculation algorithm requires written in CBFSSearch class project name: Project_BFS Requirements: for generating arbitrary topology, find the number of its branches, and output node of each branch)
    2013-08-21 17:03:04下载
    积分：1
  • tuxiangpeizhun
    使用VC++编程，自动检测角点，实现图像配准，代码可用。(Automatically detect the corner points, for image registration, the code is available.)
    2010-05-30 10:55:42下载
    积分：1
  • GMS-Feature-Matcher-master
    说明：  利用GMS对特征点匹配进行约束，降低误匹配率，代码包含python版本，C++版本，matlab版本。(GMS is used to constrain the matching of feature points to reduce the error matching rate. The code includes Python version, C + + version and Matlab version.)
    2021-05-06 16:31:53下载
    积分：1
  • edge
    opencv c++将彩色图像转换为灰度图像进行边缘检测，(opencv c++ to convert color images to gray-scale image edge detection,)
    2009-05-31 20:32:37下载
    积分：1
  • ch2_ex2_4
    载入一副图像并进行平滑处理与高斯或其他核函数进行卷积有效的减少图像信息内容(Loading an image and smoothed with a Gaussian or other nuclear convolution function effectively reduce the information content of the image)
    2016-08-23 16:01:08下载
    积分：1
  • SiftSearch
    基于Sift算法开发商标图案匹配程序，(1)各个CBIR模块及其技术； (2)Sift算法及其在图像匹配、目标识别中的应用； (3)Sift算法在图像检索中的应用。 (Sift algorithm development based on pattern matching program mark (1) Each CBIR module and its technology (2) Sift algorithm and its application in image matching, object recognition application (3) Sift algorithm in image retrieval applications.)
    2009-09-28 12:03:28下载
    积分：1
  • ZaoShengXiaoChuDib
    图像噪声消除，内有很多种消除噪声的方法，比如均值法等。(Image noise reduction, there are many ways to eliminate noise, such as the average method.)
    2010-11-26 10:12:42下载
    积分：1
  • VisualSFM_windows_cuda_64bit
    说明：  很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)
    2019-05-16 16:00:52下载
    积分：1
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