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: 基于云模型的花片特征提取算法，该算法通过云模型的逆向正态云发生器，由样本点信息，求解出三类花四个特征参数各自的数字特征：期望、熵、超熵。-Based on Cloud Model Motif feature extraction algorithm, which cloud model of reverse normal cloud generator, the sample point information, solving the three spent four the number of features of their characteristic parameters: expectation, entropy, ultra-entropy. Platform: |
Size: 4096 |
Author:zhuchangming |
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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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Search - feature extraction matlab point cloud