03549nam a22005535i 4500 978-3-031-71287-6 DE-He213 20251030113117.0 cr nn 008mamaa 240930s2024 sz | s |||| 0|eng d 9783031712876 978-3-031-71287-6 10.1007/978-3-031-71287-6 doi Q325.5-.7 UYQM bicssc MAT029000 bisacsh UYQM thema Perticarini, Maurizio. author. aut http://id.loc.gov/vocabulary/relators/aut 85339 Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage [electronic resource] : The Monastery of Saints Severino and Sossio Case Study / by Maurizio Perticarini. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIV, 92 p. 91 illus., 81 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda The Monastery of Ss Severino and Sossio State Archives of Naples -- Different Surveying Techniques -- New frontiers of image based surveying -- 3D Model Reconstruction -- From the Virtual Model to the Visualization -- Conclusions. This book addresses the role of modern surveying and representation technologies in preserving and disseminating cultural heritage. A workflow is illustrated, describing the Former Monastery of Ss Severino and Sossio case study, currently the headquarters of the State Archives of Naples, Italy. After offering a historical overview, the work examines the spaces and structure of the building. A methodology for three-dimensional restitution is presented, using low-cost image-based and professional range-based surveying, concluding with recent AI technologies such as NeRF. The research continues with the virtual and augmented restitution of parts of the building that have been modified, lost over the centuries, or are no longer accessible. The Atrio dei Marmi, the Atrio del Platano, and the Sala del Capitolo and Sala del Refettorio are some of the places where the research has focused, creating a BIM model, using AR for precise interventions, and developing an immersive applied game to understand the third level of the monastery, rich in works of art and today also serving as a museum. In the final chapters, a particular focus is placed on the future of representation: new techniques, ongoing developments in AI supporting surveying, and the new possibilities offered by virtual spaces. Machine learning. 55059 Cultural property. Virtual reality. Augmented reality. 66815 Surveying. 71822 Machine Learning. 55059 Cultural Heritage. Virtual and Augmented Reality. 66818 Surveying. 71822 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031712869 Printed edition: 9783031712883 Printed edition: 9783031712890 https://doi.org/10.1007/978-3-031-71287-6 ZDB-2-SMA ZDB-2-SXMS 63873 63873