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.
- Clotilde Boust (C2RMF)
- Alamin Mansouri (UBFC)
- Robert G Erdmann (UvA)
Deadline has passed! 30.03.2019