DC8: Fusion of Super-Resolution and stitching techniques for large-scale RTI acquisition and reconstruction
Doctoral candidate
To be recruited
Hiring institution
University of Burgundy Europe (UBE)
PhD enrolment institution
University of Burgundy Europe (UBE)
Main supervisor
Jean Baptiste Thomas Europe (UBE)
Co-supervisor
Francesca Rosi (CNR)
Co-supervisor
Jon Yngve Hardeberg (NTNU)
Objectives
Develop a hybrid RTI acquisition and reconstruction framework that combines the advantages of both photometric and visual inconsistencies:
- To design and implement a multi-scale RTI acquisition protocol that jointly exploits global and local data to ensure both completeness and fine detail.
- To develop fusion algorithms combining stitching and super-resolution, enabling the enhancement of spatial detail while maintaining photometric coherence across the full surface.
- To validate the proposed approach on complex, large-size CH objects, demonstrating improved geometric and visual fidelity.
Goals
- Novel RTI acquisition and reconstruction workflow adapted to large surfaces.
- Fusion and correction algorithms addressing both geometric and photometric inconsistencies.
- Protocols and validation datasets enabling reproducible deployment of large-scale RTIs.