Ponte San Lorenzo, a case study for the comparison of image-based survey tools. NeRF as an alternative to photogrammetry

Maurizio Perticarini, Andrea Giordano
Abstract:
The aim of the research is to experiment with the new possibilities offered by artificial intelligence applied to surveying. Ponte San Lorenzo, a perfectly preserved archaeological artefact under Via Riviera dei Ponti Romani in Padua, one of the case studies of the 2018 project of the University of Padua entitled: PD-Invisible: PaDova INnovative VISions - visualizations and Imaginings Behind the city Learning, was the object of an accurate integrated image and range-based survey and made it possible to compare the different 3D acquisition methodologies of the cultural heritage. The Bridge is now digitally rendered through the new system developed by Nvidia called Instant Nerf and the new web-based software Luma AI which exploit machine learning and Volume Ray Merching for the creation of virtual twins. The same database of photographs taken for photogrammetry was used as a training database for the algorithm. The research aims to evaluate the results of the new survey system and to compare them with the results of the methods used in the past.
Download:
IMEKO-MetroArchaeo-2023-152.pdf
DOI:
10.21014/tc4-ARC-2023.152
Event details
IMEKO TC:
TC4
Event name:
TC4 MetroArchaeo 2023
Title:

IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage

Place:
Rome, ITALY
Time:
19 October 2023 - 21 October 2023