Description: Iterative Closest points算法，被广泛应用在3d领域，这里实现了将两团点云align到一起的功能-Iterative Closest points algorithm, has been widely used in the field of 3d, where the implementation of the two groups to align with the point cloud of the function Platform: |
Size: 23552 |
Author:xi |
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Description: BMyCrust take as input a 3D scatter points cloud and return a tight, manifold, triangulation.
Remember that crust algorithm needs a cloud representing a volume, so open surface may give inaccurate results. For example : a plane can not be triangulated, half-sphere is in doubt, a sphere with a small hole shoud be good.
The more points are given the best the surface will be fitted, of course in this case you would have to wait more and in the worst case a memory help error may occurs. The best results are obtained with more points in high curvature feature.
The old version did not ensure the output surface to be a manifold so it could be used only for graphical purpose. In the new one a tight, regular manifold is returned. It as outward normals orientation, after using this algorithm is very easy to get an STL file from a point cloud.
I added a manifold extraction tool that also correct the errors (slivers) generated by delaunayn during the initial tessellation.-BMyCrust take as input a 3D scatter points cloud and return a tight, manifold, triangulation.
Remember that crust algorithm needs a cloud representing a volume, so open surface may give inaccurate results. For example : a plane can not be triangulated, half-sphere is in doubt, a sphere with a small hole shoud be good.
The more points are given the best the surface will be fitted, of course in this case you would have to wait more and in the worst case a memory help error may occurs. The best results are obtained with more points in high curvature feature.
The old version did not ensure the output surface to be a manifold so it could be used only for graphical purpose. In the new one a tight, regular manifold is returned. It as outward normals orientation, after using this algorithm is very easy to get an STL file from a point cloud.
I added a manifold extraction tool that also correct the errors (slivers) generated by delaunayn during the initial tessellation. Platform: |
Size: 6042624 |
Author:naz |
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Description: 给出三维点云的X,Y,Z坐标，重构出三维图像，其中用到了三角网格法和规则化坐标法。-Given 3D point cloud X, Y, Z coordinates, three-dimensional reconstructed images, which uses a triangular coordinate grid method and rules of law. Platform: |
Size: 1024 |
Author:rongwei |
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Description: 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 Platform: |
Size: 4856832 |
Author:郑晖 |
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Description: 本程序用于绘制三维图形，可以对地面激光点云数据进行三维建模。-The procedure used to draw three-dimensional graphics, you can on the ground laser point cloud data for three-dimensional modeling. Platform: |
Size: 3072 |
Author:王宇鸿 |
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Description: 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. Platform: |
Size: 2048 |
Author:王宇鸿 |
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Description: matlab代码，三维点云数据处理，对含灰度的三维点云进行傅立叶变换-matlab code, three-dimensional point cloud data processing, the three-dimensional point cloud with gray Fourier transform Platform: |
Size: 7168 |
Author:yy |
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Description: 三维点云表面绘制、纹理映射matlab算法，容易理解很实用-3D point cloud surface rendering, texture mapping the matlab algorithm is very practical, easy to understand Platform: |
Size: 237568 |
Author:king |
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Description: 基于Matlab的点云三维重建代码程序,以实现从kinect深度图到点云，再进行三维重建的过程。-Matlab-based point cloud reconstruction program code to achieve kinect depth map the point cloud, and then the process of three-dimensional reconstruction. Platform: |
Size: 230400 |
Author:Albert Zhou |
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Description: 三维模型数据中包含“Princeton Shape Benchmark dataset”，三维模型数据库，其中的.off文件为三维模型，这些模型可以使用文件夹中的“打开三维模型的软件”打开查看。
matlab代码中“读取三维模型”为matlab读取.off文件的代码，得到的是三角面片信息和点云坐标
“三维模型切割”中为切割三维模型的一个例子，具体是从三维模型上找三个点构成一个平面，找到这个平面与三维模型的交点，这只是一个例子，具体如何切割三维模型需要自己实现，其中读取的三维模型为.obj格式，实验时需要把这部分换成上面读取.off的代码。运行其中的cut.m和cut2.m文件
“CBSM特征提取”用于提取形状特征，a.m是批量提取的，b.m是提一张图片的-3D model data contained in the Princeton Shape Benchmark dataset , the three-dimensional model , which .off file three-dimensional models that can be used in the folder open a 3D model of software Open View.
matlab code reads the three-dimensional model for the matlab code to read .off file to obtain a triangular facets information and coordinate point cloud
Three-dimensional model of cutting as an example of cutting three-dimensional model, in particular to find a three-dimensional model the three points form a plane, find the intersection of the plane and three-dimensional model, this is just an example of how to cut specific need to implement three-dimensional model wherein the three-dimensional model is read .obj format, experiments need to replace this part of the above read .off code. Run one of the cut.m and cut2.m file
CBSM feature extraction is used to extract the shape feature, a.m bulk extraction, b.m is to provide a picture o Platform: |
Size: 677888 |
Author:丽丽 |
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Description: 使用matlab实现三维建模源码，效果非常好，可以用于三维点云数据的建模-Using MATLAB to achieve three-dimensional modeling source code, the effect is very good, can be used for modeling 3D point cloud data
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Size: 123904 |
Author:zhch59 |
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Description: 由点云数据，三角面片法向量 生成3d打印的stl文件(obtain the stl file which used to 3D printing, run from point cloud, normal vector files) Platform: |
Size: 5400576 |
Author:asen
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Description: 可以在MATLAB中对三维点云数据进行中值滤波。(The median filtering of 3D point cloud data can be carried out.) Platform: |
Size: 167936 |
Author:southpole |
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Description: 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 Education Purpose
Version 2 @ 2014
Written by Jianxiong Xiao (MIT License)
This code demonstrates how a traditional structure from motion pipeline is done and how to compute a dense point cloud by matching propagation in a simplest way. It is mainly designed for teaching a computer vision lecture at Princeton. Please check the slides and the homework assignment together with this code release. Although it is for education purpose, it is implemented in a nice way that it actually works for real photos. It is just probably quite slow compared to more optimized system, such as Bundler from Noah Snavely.
Usage: run SFMedu2.m in Matlab.
Acknowledgement: Thanks for Fisher Yu for bug fixing and feedback. We also thanks many people for making their functions publicly available online. Note that the third party library may have different licenses that you need to follow. We include them for the convenience for the users and don't imply any copyright issues.) Platform: |
Size: 10240 |
Author:fangyz |
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Description: 能够读取txt文件中的三维点云数据，渲染并显示三维图像，180°自动旋转查看(To 3D point cloud data read TXT file, rendering and displaying 3D images, automatic rotation view of 180 degrees) Platform: |
Size: 311296 |
Author:lanhayes |
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Description: 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divide appropriate classes. Finally, the random 3D point cloud will be displayed in different colors after clustering.) Platform: |
Size: 1024 |
Author:woyaokaobo |
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