Funded By: University of Pisa, PROGRAMMA DI VALORIZZAZIONE – POCARNO 2020
PARTICIPATING INSTITUTIONS: University of Pisa
STARTING DATE: 2020
END DATE: 2021
The objective of the IntImAR project was to implement a light field display based on the integral imaging technique, building on a feasibility study carried out by the team in 2017. The project was structured into four work packages (WP). WP1 focused on hardware design and implementation, selecting microlens arrays and AMOLED displays to reduce the bulk of the system. WP2 involved developing a rendering algorithm using OpenGL and C++ after Unity3D failed to meet performance requirements. WP3 was dedicated to testing and fine-tuning the system, while WP4 focused on dissemination and prototyping a demo setup.
The main outcomes included the development of a real-time rendering algorithm capable of handling dynamic images and a prototype system based on microlens arrays. Testing showed that rendering performance was GPU-dependent, with high frame rates achieved for low-vertex models but slower performance for complex models. The system was presented at an international conference (IEEE EMBC 2022), and the team successfully developed a GUI for real-time application control. However, some challenges remained, such as optimizing image alignment and reducing interference effects like moiré patterns.
TOTAL BUDGET: 50.374€
The research activity has resulted in the following main publications in peer-reviewed journals and contributions to conference proceedings:
- Domeneghetti, D., Carbone, M., Cutolo, F. and Ferrari, V., 2022, July. A Rendering Engine for Integral Imaging in Augmented Reality Guided Surgery. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 2693-2696). IEEE.