Development of multi modal image data fusion methods for change monitoring

Host Institution: C2RMF          PhD Enrollment: UBFC


  • Identify data representations and cross-analysis with heterogeneous multi modal inputs available at the museums- 2D and 3D imaging (e.g., spectral, 3D surface, tomography X3D, fluoX, and chemical imaging).
  • Visualization of data from heterogeneous sources.
  • Construct data fusion model with computing analysis and other information as object historical data for restoration.
  • Use of the change monitoring methods to analyse paintings and statues at the Louvre museum.

Main Supervisor:

  • Clotilde Boust (C2RMF)


  • Alamin Mansouri (UBFC)
  • Robert G Erdmann (UvA)