Skip to content

The source code for TensorClustering as described in the IEEE TPAMI 2019 paper: Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement.

License

charalambos/TensorClustering

Repository files navigation

TensorClustering

by Charalambos [Charis] Poullis

The source code for TensorClustering as described in the IEEE TPAMI 2019 paper: Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement.

IMPORTANT: To use this software, please consider citing the following in any resulting publication:

@article{poullis2019large,
  title={Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement},
  author={Poullis, Charalambos},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2019}
}

Command-line usage:

./TensorClustering resampled_xyz_map.pfm

Input

The input is a resampled XYZ map in PFM format. To generate such files from XYZ pointclouds (ASCII format) you can use StructurePointcloud available here: https://github.com/charalambos/StructurePointcloud

Dependencies

To compile and build you will need the following:

  1. ImageMagick > 7.x
  2. FFTW3
  3. OpenCV
  4. MPFR
  5. GMP
  6. CGAL
  7. GLEW
  8. OPENGL
  9. Boost_SYSTEM
  10. EXIV2
  11. Qt5::Widgets, Qt5::Core, Qt5::OpenGL

You will also need to download our research lab's "commons files" from theICTlab repository.

About

The source code for TensorClustering as described in the IEEE TPAMI 2019 paper: Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published