搜索资源列表
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2下载：
利用opencv进行三维重建的简便方法通过六个步骤,特别是摄像机标定和立体匹配中极线约束 方法 的使用，给出了基于OpenCV的三维重建算法,Three-dimensional reconstruction using opencv easy way through the six steps, especially the camera calibration and stereo matching epipolar constraint method in use, given the th
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由两幅图像通过OpenCV进行摄像机标定 之后再进行三维重建,By the two images through the OpenCV for camera calibration after three-dimensional reconstruction
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基于opencv的支持向量基（SVM）的代码，利用SVM解决2维空间向量的3级分类问题。,Opencv-based support vector machine (SVM) of the code, the use of SVM to solve 2-dimensional vector space of three classifications.
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这是本人自己写的基于opencv的三维重建的实例源代码，可以运行.-This is written based on my own three-dimensional reconstruction of the opencv source code examples, you can run.
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新的基于OpenCV的立体视觉三维测量方法OpenCV new stereo vision based three-dimensional measurement-OpenCV new stereo vision based three-dimensional measurement
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所上传文件包包括6种vc++源代码：使用opencv的实现可视图的静态路径规划；简单的svm算法；基于vc2008的图像匹配（多工程结构）；基于局部搜索的K-means聚类算法；三维匹配中的ICP算法；视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
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本翻译是直接根据 OpenCV Beta 4.0 版本的用户手册翻
译的，原文件是：
<opencv_directory>/doc/ref/opencvref_cv.htm, 可
以从 SOURCEFORG 上面的 OpenCV 项目下载，也可以直
接从 阿须数码 中下载：
http://www.assuredigit.com/incoming/sourcecode/o
pencv/chinese_docs/ref/opencvref_cv.htm。
翻译
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opencv三维重建算法，已编译过可以运行，可以得到正确结果-opencv three-dimensional reconstruction algorithms, has been compiled to run, to get the right results
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基于OpenCV的计算机视觉技术实现第十七章，立体视觉实例，包括了立体视觉构建的大量代码和构建过程。-Chapter 17 based on the OpenCV computer vision technology, three-dimensional visual examples, including a stereo vision to build a large number of the code and build process.
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基于OpenCV的计算机视觉技术实现十六章，具体介绍了三维重建算法的一般过程。-Based on the OpenCV computer vision technology to achieve 16 chapters and specifically describes the general process of three-dimensional reconstruction algorithm.
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一个基于八点法和平面法校正的立体匹配程序，用OpenCV实现，能够实现两副平移图片的立体匹配。-One based on the eight law and plane calibration method of three-dimensional matching program using OpenCV, to achieve the matching of the two pan across the image.
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用于立体图像矫正:Harries角点、NCC匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，自己书写的opencv函数-For three-dimensional image correction: Harries corner NCC matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the stereo image pairs o
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实现OpenCV、OpenGL、VS2008混合编程，输入校正后的图像对，使用立体匹配算法计算其视差图，最后用OpenGL进行三维重建-Achieve OpenCV, OpenGL, VS2008 mixed programming, enter the corrected image right, using stereo matching algorithm to calculate the disparity map, the final three-dimensional reconst
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用opencv编写的三维重建源代码,功能强大，代码简洁，实用性好。其中还包括数据点文件-Three-dimensional reconstruction using opencv source code written, powerful, concise code, good practicability. Which also includes data point file
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opencv 三维重建，mfc框架下opengl 显示，实现了相机标定到三维重建全过程，重建使用BM算法-opencv three-dimensional reconstruction, mfc framework opengl display, camera calibration to achieve a three-dimensional reconstruction of the whole process of reconstruction using the BM algorithm
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三维视觉(双目视觉,定标,三维重建等)下的基于opencv的摄像机标定源代码-
Opencv camera calibration based on a three-dimensional visual source code (binocular vision, calibration, 3D reconstruction, etc.) under
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opencv算法，特征点精确定位、三维子像元插值等-opencv algorithms, feature point precise positioning, three-dimensional sub-pixel interpolation
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