This paper is published at ACM Transactions on Graphics (SIGGRAPH 2023). Please refer to our paper and project for more detail.
@article{Rui2023GCNO,
author = {Xu, Rui and Dou, Zhiyang and Wang, Ningna and Xin, Shiqing and Chen, Shuangmin and Jiang, Mingyan and Guo, Xiaohu and Wang, Wenping and Tu, Changhe},
title = {Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field},
journal = {ACM Transactions on Graphics (TOG)},
year = {2023},
publisher = {ACM},
doi = {10.1145/3592129},
booktitle = {ACM SIGGRAPH 2023 Papers},
series = {SIGGRAPH '23}
}
- Windows 10
- Visual Studio 2022 Professional
- AMD Ryzen 5950X
- 32GB Memory
- CGAL
- Eigen3
- Boost
Important: Please using vcpkg to install dependent libraries! And please use "git clone" to install vcpkg, otherwise you may get errors during CGAL installation.
-
.\vcpkg install boost:x64-windows
-
.\vcpkg install cgal:x64-windows
​ use "git pull" if you get errors with the "gmp" library.
-
.\vcpkg install Eigen3:x64-windows
-
.\vcpkg integrate install
Download this project: NormalOrientation
Open Cmake-GUI
Where is the source code: NormalOrientation
Where to build the binaries: NormalOrientation/build
Note: check the location of dependencies and install. It is recommended to use vcpkg to add dependencies.
Configure->Generate->Open Project
ALL_BUILD -> Build
Turn Debug to Release -> ALL_BUILD -> Build
Please set MAIN
as Startup Project, and make the following changes:
Properties -> Configuration Properties -> C/C++ -> Code Generation ->
- Enable Parallel Code Generation : Yes
- Enable Enhanced Instruction Set : AVX2
- Floating Point Model : Fast
Properties -> Configuration Properties -> C/C++ -> Language -> Open MP Support : Yes
- All examples are in
MAIN
. - All the files is in
NormalOrientation\data
. - The output files is in
NormalOrientation\data\Out\
. - The result of operations are in
NormalOrientation\data\MyResult\
, for checking whether the program is running correctly.
💡💡💡 Speed
This code is not optimized for speed, but for clarity. Please open Openmp and AVX2 in Visual Studio to speed up the code. Please set the floating point model to fast in Visual Studio to speed up the code. The default number of Openmp parallel threads is 28, set according to an AMD Ryzen 5950x CPU, please set different number of threads according to the CPU you use to get the best running effect.
💡💡💡 Stop condition
For viewing the optimization process in more detail, we have not set the optimization stop condition. Please manually stop the optimization and view all iteration results in the data\out
folder