This repository contains the source code for the research paper:
Field-Aligned Online Surface Reconstruction
Nico Schertler, Marco Tarini, Wenzel Jakob, Misha Kazhdan, Stefan Gumhold, Daniele Panozzo
ACM TOG 36, 4, July 2017
DOI: http://dx.doi.org/10.1145/3072959.3073635
- Boost headers (no compiled components are necessary)
On Linux, the following packages are necessary (available via apt-get):
- xorg-dev
- libglu1-mesa-dev
- libboost-dev (only the header files are needed)
To compile the project, simply check out the git repository, initialize all submodules, use CMake to generate project files for your favorite build environment, and run the build (use a 64 bit generator). On Unix-based systems, this may look as follows:
git clone https://github.com/NSchertler/OnlineSurfaceReconstruction.git
cd OnlineSurfaceReconstruction
git submodule update --init --recursive
mkdir build
cd build
cmake .. -DNANOGUI_USE_GLAD=ON
make
There are a couple of CMake options (prefix OSR_) that let you customize the build and add more features.
Some parts of the code make heavy use of OpenMP. If your build environment does not support OpenMP (e.g. Clang on MacOS), the program will still compile but performance may be inferior due to missing parallelization.
The following binaries are compiled from the latest commit with default options:
- Windows Binaries (Visual Studio 2017)
- Linux Binaries (GCC 6)
- macOS Binaries (Clang, without OpenMP support)
A selection of data sets that we presented in our paper can be found here: https://www.cs.ubc.ca/~nschertl/OSRData/. This repository contains the original scan data, a project file for the OSR application, and the final reconstruction.
Source code documentation can be found in the wiki