Implementation of the local remesher from "A Remeshing Approach to Multiresolution Modeling" by M. Botsch and L. Kobbelt, to work with the libigl geometry processing library. Can be used as a Command Line Tool, a C++ function, a Matlab mex function and a python function. Python bindings can be built from this repository, or found as part of gpytoolbox
An up-to-date, maintained version of this code is implemented into our new python geometry processing library Gpytoolbox. See the remesher documentation and examples here.
Clone this repo and its submodules:
git clone --recursive [email protected]:sgsellan/botsch-kobbelt-remesher-libigl.git
To build this project, do the usual CMake dance:
mkdir build
cd build
cmake ..
make -j
Once you built the project, a script setpath.sh will be copied to your build
folder. Run source setpath.sh to add the path to the build folder to your
system PATH and PYTHONPATH environment variables.
To run in command line, issue
remeshmesh [input.ext] [output.ext] [-i num_iterations] [-h target_edge_length]
[-p]
The mesh in input.obj must be closed and manifold. ext can be any of obj,
mesh, off, ply and stl. -p tells the remesher to project to the
original mesh.
To use within your own C++ code, simply the header files in src/ and
use the function remesh_botsch as shown in remesmesh.cpp.
Python bindings are also available:
from pyremesh import remesh_botsch
v_new, f_new = remesh_botsch(v, f, target, steps)I also provide a mex wrapper for Matlab, which can be compiled by running
mex/build_mex in the Matlab console. A precompiled Mac OS X mex binary can
also be found in precompiled/osx/bin.