Description: 深度图像生成:主要用于生成圆球的深度图像,并计算物体的高斯和平均曲率,以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images Platform: |
Size: 213866 |
Author:陈先奎 |
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Description: 深度图像生成:主要用于生成圆球的深度图像,并计算物体的高斯和平均曲率,以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images Platform: |
Size: 48635 |
Author:陈先奎 |
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Description: We propose a simple and effective method for detecting view- and
scale-independent ridge-valley lines defined via first- and secondorder
curvature derivatives on shapes approximated by dense triangle
meshes.-We propose a simple and effective method az r detecting view - and scale-independent ridge - valley lines defined via first - and secondord er curvature derivatives on shapes approximat ed by dense triangle meshes. Platform: |
Size: 741829 |
Author:金金 |
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Description: We rigorously analyze the dispersion function and the curvature of the dispersion surface of a photonic
crystal to explore the fundamental limit of its angular sensitivities. With insight gained from group theory, we
fi nd that symmetry induced degeneracy gives rise to a singular dispersion surface curvature and a nonvanishing
group velocity simultaneously. Near such a singularity, high angular sensitivities can be achieved at low optical
loss. This phenomenon exists generally in most common two-dimensional and three-dimensional photonic
crystal lattices, although it occurs only for certain photonic bands as dictated by symmetry. Platform: |
Size: 282944 |
Author:Qtai |
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Description: 深度图像生成:主要用于生成圆球的深度图像,并计算物体的高斯和平均曲率,以及生成表面类型图像-depth image generation : mainly used to generate the depth sphere images, and calculated objects and the average Gaussian curvature, surface types and generating images Platform: |
Size: 214016 |
Author:陈先奎 |
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Description: We propose a simple and effective method for detecting view- and
scale-independent ridge-valley lines defined via first- and secondorder
curvature derivatives on shapes approximated by dense triangle
meshes.-We propose a simple and effective method az r detecting view- and scale-independent ridge- valley lines defined via first- and secondord er curvature derivatives on shapes approximat ed by dense triangle meshes. Platform: |
Size: 741376 |
Author:金金 |
Hits:
Description: We rigorously analyze the dispersion function and the curvature of the dispersion surface of a photonic
crystal to explore the fundamental limit of its angular sensitivities. With insight gained from group theory, we
fi nd that symmetry induced degeneracy gives rise to a singular dispersion surface curvature and a nonvanishing
group velocity simultaneously. Near such a singularity, high angular sensitivities can be achieved at low optical
loss. This phenomenon exists generally in most common two-dimensional and three-dimensional photonic
crystal lattices, although it occurs only for certain photonic bands as dictated by symmetry. -We rigorously analyze the dispersion function and the curvature of the dispersion surface of a photoniccrystal to explore the fundamental limit of its angular sensitivities. With insight gained from group theory, we Platform: |
Size: 282624 |
Author:Qtai |
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Description: 由生成的深度图象数据用平滑算子和差分方法求曲面的高斯曲率和平均曲率-By the depth of image data generated by a smooth operator and the difference method for the Gaussian curvature surface and the average curvature Platform: |
Size: 1024 |
Author:吕娴娜 |
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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: Triangle Collapse Algorithm Based on Discrete Curvature Estimation-A new mesh simplification algorithm based on surface curvature estimation is proposed and it is on the basis of triangle collapse.According to the discrete curvature on triangle meshes, more important features can be preserved in regions of high curvature after simplification. Amethod to get the new vertex after the collapse of a triangle based on discrete curvature and spherical surface estimation is also given. Experimentsillustrate the efficiency of the algorithm. Platform: |
Size: 343040 |
Author:strida |
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Description: 关于曲面的曲率线解法的几个例子,具有实际的代表性,能够覆盖多数求解问题。-Lines of curvature on the surface a few examples of solution, with the actual representative can cover the majority of solving the problem. Platform: |
Size: 150528 |
Author:li fei |
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Description: Function to calculate the principal curvatures on a triangular mesh. Approximations of curvature are based on local (N=1) neighborhood elements and vertices.
Note: Directions of curvatures aren t calculated appropriately. Will post an updated version once this is implemented.
Note that calculations at vertices with few adjacent triangles, and hence few adjacent vertices, are expanded to a greater neighborhood.
Reference:
1) Chen and Schmitt (1992) Intrinsic surface properties from surface triangulation
2) Dong et al. (2005) Curvature estimation on triangular mesh, JZUS
This code makes use of routines: buildInverseTriangualtion.m & removeDO.m
initially written by: David Gringas. He is gratefully acknowledged
Platform: |
Size: 22528 |
Author:tao lu |
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Description: [K,H,P1,P2] = surfature(X,Y,Z) returns the gaussian curvature of a surface (K), mean curvature (H), and principal curvatures (P1,P2). The inputs (X,Y,Z) are 2D arrays corresponding to the surface being analyzed.
Example
[X,Y,Z] = peaks
[K,H,P1,P2] = surfature(X,Y,Z)
surf(X,Y,Z,H, facecolor , interp )
set(gca, clim ,[-1,1])
-[K,H,P1,P2] = surfature(X,Y,Z) returns the gaussian curvature of a surface (K), mean curvature (H), and principal curvatures (P1,P2). The inputs (X,Y,Z) are 2D arrays corresponding to the surface being analyzed.
Example
[X,Y,Z] = peaks
[K,H,P1,P2] = surfature(X,Y,Z)
surf(X,Y,Z,H, facecolor , interp )
set(gca, clim ,[-1,1])
Platform: |
Size: 1024 |
Author:tao lu |
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Description: 估计一个离散点云中某个点的高斯曲率和离散曲率,算法是拟合一个二次曲面-Estimate a discrete point cloud to a point in the discrete Gaussian curvature and the curvature, the algorithm is a quadratic surface fitting Platform: |
Size: 1024 |
Author:yanmohan |
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Description: 通过vc与matlab的接口,计算光滑曲面上的平均曲率和高斯曲率
-By vc interface with matlab to calculate the average on the smooth surface curvature and Gaussian curvature Platform: |
Size: 2048 |
Author:李兰军 |
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Description: 用matlab开发的计算给定曲面点云的,高斯和平均曲率图-Matlab calculation developed by a given surface point cloud, the Gaussian and mean curvature map Platform: |
Size: 3072 |
Author:lmf |
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Description: 此程序利用“弦高法”控制得到曲线上若干点,然后推广到三维曲面上布点,可以按照曲面曲率变化得到点的布局,最终三维图上显示出来-This procedure using the chord method control curve of some points, and then extended to 3D surface distribution, can be in accordance with the change of surface curvature point layout, the final three dimensional graph display Platform: |
Size: 5120 |
Author:cuixing |
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