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简单的同时使用OPENGL和OPENCV的例子，能够根据云点图生成3d图像，对学习3d重建和立体视觉很有用。-A simple example using OPENGL and OPENCV can generate 3d image based on the cloud point of Figure 3d image,which is helpful to study 3d reconstruction and stereo vision 。
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在VS2008和opencv下，对2D/3D点(云)数据实现三角剖分，运算速度快，实时性好，计算精度高，并对三角剖分进行了优化，可以处理复杂点集的三角剖分，可以用于人脸识别的工作-In the VS2008 and opencv, the pairs of 2D/3D points (cloud) data to achieve triangulation, calculation speed, real-time performance is good, high precision, and
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The Makefile is for MacOS X 10.6. The scanner is int 3Dscanner.cpp and uses OpenCV. he "ducky" subdirectory holds a set of test images. There are a couple of example .txt point cloud files included in the top-level directory (shrek-16.txt, ducky-poin
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以前用opencv做过的Stereo算法，可以生成云点图像，对学习opencv，立体视觉很有帮助。-Previously done with opencv Stereo algorithms can generate the cloud point image, which is helpful to learning opencv, stereo vision .
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只要给定人脸头部三维数据，可以生成人脸点云数据模型。已经通过调试且需要配置opencv。-As long as the head of a given face three-dimensional data, you can produce human face point cloud data model. It has passed debugging and configure opencv.
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基于双目视觉的点云处理，是基于opencv和MFC的程序，良好的界面显示-Point cloud processing based on binocular vision, which is based on opencv and MFC procedures, good interface display
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Kinect和OpenCV实现简单的点云三角化，用最小二乘法计算法线，并实时显示获得的模型。建立在OpenFrameworks框架上，编译需要安装OpenFrameworks并放到myApps目录里，还需要Kinect SDK 1.7和OpenCV 2.4.3。-Kinect and OpenCV to achieve a simple point cloud triangulation, using the least square method to calculate the normal
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xv11激光雷达的数据采集，点云数据显示，直线拟合程序，使用opencv 进行图形显示。-xv11 lidar data aquisition program,point cloud display,and line fiting based on opencv.
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FabScan -可担负起的实物对象的3D激光扫描系统,使用opencv和PCL库。-FabScan- Affordable 3D Laser Scanning of Physical Objects.FabScan makes use of the OpenCV and PCL (Point Cloud Library).
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此代码基于c++标准库，opencv和pcl点云库，可实现对摄像头调参，调用摄像头视频并读取画面中点的三维坐标获取点云数据-This code is based on c++ standard library, opencv and pcl point cloud library, can achieve the camera tuning, call the camera video and read the middle of the screen coordinates of the th
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基于opencv与pcl的点云采集及三维重建(Point cloud grabber and 3D construction based on OpenCV and PCL)
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利用结构光对物体进行扫描，得到物体的点云数据(The object is scanned by structured light, and the point cloud data of the object is obtained)
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在vs中正确配置好pcl和opencv，能够将通过kinect2获得的rgb图像和深度信息合成一张点云ply或者pcd文件，可以通过pcl查看。(Correctly configuring PCL and opencv in VS, we can synthesize a point cloud ply or PCD file from RGB image and depth information obtained by kinect2, which can be viewed through
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视觉slam十四讲，程序资料：g2o优化、cere拟合、特征点提取与匹配、点云拼接、opencv图像读取(Visual slam 14, program data: g2o optimization, cere fitting, feature point extraction and matching, point cloud mosaic, OpenCV image reading)
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