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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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使用SSD(sum squared differences)算法进行双摄像机图像匹配点计算,基于OpenCv的C++代码实现,Using SSD (sum squared differences) algorithm dual camera image matching points calculation, based on the OpenCv the C++ Code
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基于opencv的双目立体视觉摄像机的定标,说的非常详细,告诉我们每一步该干什么-Based on the binocular stereo vision opencv camera calibration, that the very detailed and tells us what to do each step
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Sample impementation of a stereo camera calibration including rectification using CvCalibFilter based on the forum post of Rafael Mu駉z Salinas at http://tech.groups.yahoo.com/group/OpenCV/message/48237
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基于openCV的双目视觉2D平面靶的摄像机标定,vc++6.0平台下实现-Binocular stereo vision Camera calibration
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一个用OpenCV实现双摄像机立体视觉的程序源码,需要有OpenCV的支持,非常简单易懂的程序源码,已通过测试。-OpenCV implementation of a dual camera with stereo program source code, need the support of OpenCV, very easy to understand the program source code, has been tested.
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opencv 实现摄像机标定,为立体匹配与三维重建打下了基础。-Opencv realizes the camera calibration,it sets a foundation for stereo matching with the 3 d reconstruction
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双目像机标定程序,效果很好。利用OPENCV-stereo camera
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用OpenCV实现双摄像机立体视觉的程序源码,需要有OpennCV的支持,非常简单易懂的程序源码
-Dual-camera stereo vision using the OpenCV program source code, need a OpennCV support, very easy to understand program source code
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一个简单的摄像机定标与立体匹配测试程序——基于MFC和OPENCV的。-A simple test procedure example is based on MFC and Opencv ,used camera calibration and stereo matching.
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PS3 Camera tracking capabilities to implement existing USB cameras basketballs to change
- PS3 camera 2
- Stereo Calibration
- Opencv 2.4.3
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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
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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
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图像数据操作(内存分配与释放,图像复制、设定和转换)
图像/视频的输入输出(支持文件或摄像头的输入,图像/视频文件的输出)
矩阵/向量数据操作及线性代数运算(矩阵乘积、矩阵方程求解、特征值、奇异值分解)
支持多种动态数据结构(链表、队列、数据集、树、图)
基本图像处理(去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构)
结构分析(连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化)
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