An opportunity to share our latest work on cultural heritage and network with colleagues in Geomatics.
In February Rebecca Fascia and Francesco Ioli from our team had the privilege of participating in the prestigious 3D-ARCH workshop on conference 3D Virtual Reconstruction and Visualization of Complex Architectures held in Siena.
Co-organized by ISPRS and CIPA, this conference brought together leading experts in geomatics, photogrammetry and 3D modelling offering a platform for innovative ideas and collaborative discussions.
During the conference held in Siena, our team contributed to the paper titled Deep-Image-Matching: A toolbox for multiview image matching of complex scenarios co-authored by our member Francesco Ioli and presented by Luca Morelli from Fondazione Bruno Kessler – FBK 3DOM – 3D Optical Metrology.
Such a work introduces Deep-Image-Matching, an open-source toolbox designed to address challenges in image-matching, bridging traditional hand-crafted methods with deep learning approaches. The toolbox accommodates high-resolution datasets and seamlessly integrates with standard photogrammetric software packages. With compelling cultural heritage case studies, it demonstrates the efficacy of the toolbox in real-world scenarios.
Explore the souce code of Deep-Image-Matching on GitHub.
In the poster session, our member Rebecca Fascia presented our work entitled From 3D survey to digital reality of a complex architecture: a digital workflow for cultural heritage promotion. On this occasion we presented the results of our recent projects in the field of cultural heritage, highlighting the potential of combining photogrammetry, laser scanning and SLAM technology in the 3D modelling of the Ricci Oddi Gallery building in Piacenza (Italy). The resulting integrated point cloud was used as input to build a virtual web-based tour based on open-source technology.
Live demonstration of the RicciO3Di platform. Its source code can be accessed on GitHub.
For this work, we’d like to acknowledge the successful collaboration with the curators of Galleria d’Arte Moderna Ricci Oddi and Stonex, who contributed to the survey using X120 GO.
We are immensely grateful for the opportunity to share our insights and findings with the global scientific community.
A heartfelt thank you to the organizers, fellow participants, and everyone who contributed to making 3D-ARCH a resounding success. We look forward to continued collaboration and future endeavors in the dynamic realm of geomatics.
