Accurate Reconstruction of Flow Map from Sparse Samples
This program implements the method presented in following paper:
Adaptive Refinement of the Flow Map from Sparse Samples S.S. Barakat and X.M. Tricoche IEEE Visualization 2013
This code was written by Samer Barakat as part of his PhD thesis titled "HIGH PERFORMANCE STRUCTURE EXTRACTION AND ANALYSIS FOR VISUALIZATION" in the Computer Science department at Purdue University from 2008 to 2013.
This project requires following third-party open source libraries:
- CUDA: https://developer.nvidia.com/cuda-zone
- Teem: http://teem.sourceforge.net/
- Eigen: http://eigen.tuxfamily.org/
- VTK: https://www.vtk.org/
- Qt5: http://doc.qt.io/qt-5/index.html
- GSL: https://www.gnu.org/software/gsl/doc/html/index.html
- ITK: https://itk.org/
- CGAL: https://www.cgal.org/
- NetCDF: https://www.unidata.ucar.edu/software/netcdf/
This work was supported in part by NSF OCI CAREER award 1150000 "Efficient Structural Analysis of Multivariate Fields for Scalable Visualization" (Xavier Tricoche, PI)