搜索资源列表
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使用vc++实现ICP配准算法，编译成动态链接库，通过调用CallICP函数可以实现两组点云之间的配准-Using vc++ to achieve ICP registration algorithm, compiled into a dynamic link library, by calling CallICP function can be achieved between the two sets of point cloud registration
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pointcloud库作ransac，模型为体或平面-use point cloud library to implement ransac
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PCL点云库一书中的第八章例子代码以及结果图-the code and some examples in chapter 8 of point cloud library
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利用PCL点云库，将点云txt文件转换为适合pcl处理的pcd文件，并且可以将pcb文件中的点云进行显示。-Using point cloud library, converting point cloud TXT file for photo processing PCD file, and the point cloud of PCB file can be displayed.
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基于MFC的点云库PCL的应用开发方式，本例是利用Visual Studio 2013, 在64位Win7下开发的，其它环境只要参开其中的View类中的代码即可。 -Cloud Point library-PCL Application with MFC. It was developed with Visual C++ 2103 under WIn7 64bit. Other environment can just reference to the code n view class.
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基于点云库PCL的提取多种特征描述子的方法，本例是利用Visual Studio 2013,PCL1.7.2 在64位Win7下开发的-Based on the extracted feature point cloud library PCL descr iption method, in this case is the use of Visual Studio 2013, PCL1.72 developed under the 32-bit Win7
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点云库检测代码，主要是为了检测点云库是否安装成功-Point Cloud Library detection code, mainly in order to detect the point cloud library is installed successfully
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该工程基于pcl库，能够实现点云中harris3D角点的检测，(This project is based on PCL library, and can realize the detection of harris3D corner in point cloud,)
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PCL点云库中的pcd数据文件，对三维建模很有用处(PCD data file in PCL point cloud library is very useful for 3D modeling)
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PCL,Point Cloud Library,介绍PCL基本功能，3D点云数据处理(PCL,Point Cloud Library,basic funcyion of introduction of PCL)
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基于PCL利用贪婪投影算法实现一个点云数据的网格化(Matching and triangulation of point cloud data by using PCL point cloud Library)
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The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing.
PCL is released under the terms of the BSD license, and thus free for commercial and research use. We are financially supported by
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3D点云重建 3D点云重建Berkeley SfM is a structure from motion library created to explore new solutions to challenging 3D reconstruction problems (large scale, indoors, incremental, homogeneously textured, etc.). It is developed by(Structrue From Motion for
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