怎麼發現的

有事沒事就喜歡找一些感興趣的問題,然後循著問題中的答案或相關的引用到處漫遊,點連結或者偶爾放狗搜一下,然後就找到這個地方了:

謹慎使用: 這個庫應該是不錯的;但是感覺缺乏Eigen那樣嚴格的程式碼的peer review機制和大量而有效的測試; 加上對作者程式設計的風格的不瞭解, 感覺在使用中碰到問題的可能性會比較大.

簡單介紹

這個庫自己的主頁和名稱:

libigl is a simple C++ geometry processing library. We have a wide functionality including construction of sparse discrete differential geometry operators and finite-elements matrices such as the cotangent Laplacian and diagonalized mass matrix, simple facet and edge-based topology data structures, mesh-viewing utilities for OpenGL and GLSL, and many core functions for matrix manipulation which make

Eigen feel a lot more like MATLAB.

It is a header-only library. You do not need to compile anything to use, just include igl headers (e.g. #include "igl/cotmatrix.h") and run. Each header file contains a single function (e.g. igl/cotmatrix.h contains igl::cotmatrix()). Most are tailored to operate on a generic triangle mesh stored in an n

×3 matrix of vertex positions V and an m×3 matrix of triangle indices F.

Optionally the library may also be pre-compiled into a statically linked library, for faster compile times with your projects. This only effects compile time (run-time performance and behavior is identical). If in doubt, use the header-only default mode: (i.e. just include the headers you want to use).

We use the Eigen library heavily in our code. Our group prototypes a lot in MATLAB, and we have a useful MATLAB to libigl+Eigen conversion table.

如何使用

Libigl is a header-only library. You do not need to build anything to install. Simply add libigl/include to your include path and include relevant headers. Here is a small “Hello, World” program:

#include <igl/cotmatrix.h>
#include <Eigen/Dense>
#include <Eigen/Sparse>
#include <iostream>
int main()
{
  Eigen::MatrixXd V(4,2);
  V<<0,0,
     1,0,
     1,1,
     0,1;
  Eigen::MatrixXi F(2,3);
  F<<0,1,2,
     0,2,3;
  Eigen::SparseMatrix<double> L;
  igl::cotmatrix(V,F,L);
  std::cout<<"Hello, mesh: "<<std::endl<<L*V<<std::endl;
  return 0;
}

If you save this in hello.cpp, then you could compile this with (assuming Eigen is installed in /usr/local/include/eigen3):

Running it would then produce:

Hello, mesh:
 0.5  0.5
-0.5  0.5
-0.5 -0.5
 0.5 -0.5

在visual C++裡我只編譯成果上面這段, 其它的程式碼都沒搞定, 使用起來感覺比Eigen差; 估計作者大多還是在Linux,MacOS上用g++的

注意事項

1. Dependencies are on a per-include basis and the majority of the functions in libigl depends only on the Eigen library. For more information see our tutorial.
   .

2. Some of our functions will take advantage of OpenMP if available. However, it has come to our attention that Visual Studio + Eigen + OpenMP does NOT work properly. Since we use OpenMP only to improve performance, we recommend avoiding OpenMP on Windows or proceeding with caution.