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n点长度的DB系列小波多分辨分解程序。
可以实现一维信号的分解和重构-length of the point n DB series multiresolution wavelet decomposition process. Peacekeeping can achieve a signal decomposition and reconstruction
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文介绍了如何使用Bundler来根据图片得到相机参数以及一些空间点云数据，得到的数据将能够运用在3D重建中。利用Bundler可以得到较为稀疏的点云（point clouds）数据。如果需要得到更密集的点，可以使用Yasutaka Furukawa博士写的另外一个非常强大的软件包，称为PMVS2。一种比较常见的途径是使用Bundler来得到相机参数，然后使用Bundle2PMVS程序，将生成结果转换为PMVS2的输入，然后使用PMVS2来得到更密集的点云。另外，读者们可能会对另外一个同样由Fur
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基于matlab的三维重建代码，提取两幅图片的匹配点-Based on three-dimensional reconstruction of the matlab code, extract the two images match point
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MATLAB 三维点云重构
Surface recostruction from scattered points cloud-MATLAB three-dimensional point cloud Reconstruction Surface recostruction from scattered points cloud
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此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。-The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.
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一个用于处理pts文件并重构和生成Nurbers曲面的程序——主要用于验证点云文件。-One for handling pts file and Nurbers Surface Reconstruction and generate the procedure- the main point cloud is used to verify documents.
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这是一个三维重建程序，用于双目视觉中，由两个投影矩阵反求三维点-This is a three-dimensional reconstruction procedure for binocular vision, the projection matrix by the two reverse three-dimensional point
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基于立体视觉测量系统的人体三维点云模型的重构-Three-dimensional measurement system based on human visual three-dimensional point cloud model of the reconstruction
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一个非常好的三维散乱点云重构论文，其中以标准斯坦福数据为例。-A very good point cloud of three-dimensional reconstruction of scattered papers, of which Stanford data standards as an example.
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在三维城市，或者三维古建筑模型的重建中，用于三维点云的多方位显示。-Cities in the three-dimensional, or three-dimensional reconstruction of ancient buildings in the model for three-dimensional point cloud of multi-directional display.
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3D point cloud Reconstruction!
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MATLAB医学影像处理实验(内含14个原代码及教学的说明)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fo
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We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data.
It forms a Delaunay tetrahedralization, then uses a variant of spectral graph partitioning to decide whether each
tetrahedron is inside or out
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VTK+MFC单文档下读取点云数据，并且实现三维重建。是一个很不错的学习VTK的示例程序。-VTK+ MFC single document to read point cloud data, and the realization of three-dimensional reconstruction. Is a very good example of procedural learning VTK
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利用Visual C++读取点云数据用于曲面的三维重建-Visual C++ to read the use of point cloud data for three-dimensional surface reconstruction
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实现了点云的三维网格化重建，并附上了些测试点云数据-Realized three-dimensional grid point cloud reconstruction, along with some test point cloud data
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双目视觉三维重建程序，输入左右相机匹配点对矩阵，自动计算投影矩阵，并输出射影空间下的三维点坐标-Binocular vision three-dimensional reconstruction program, enter the matching points on the matrix around the camera to automatically calculate the projection matrix, and output under the three-dimensio
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。在单幅影像中,首
先将平行线分成分别平行于X 、Y、Z 坐标轴线的“三组”平行线,然后利用间接平差,求得它们的灭点X ∞、Y∞、Z ∞
进而求取影像的内方位元素x0 、y0 、f 与三个角元素φ、ω、κ。并在假定房屋长度为L 基础上,同时解求影像的摄站
坐标XS 、YS 、ZS 与房屋的宽度W、高度H, 从而实现房屋的三维重建。-. In the single image, were first divided into parallel lines parallel to th
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The Point Cloud Library (or PCL) is a large scale, open project for point cloud processing.
The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitt
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提出利用电云进行模型重构的算法，该算法基于点云的几何形状特征，很好的算法。-Proposed the use of electric cloud model reconstruction algorithm based on the geometric shape of the point cloud, a good algorithm.
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