| Autor: |
Teruggi, S., Grilli, E., Fassi, F., Remondino, F. |
| Předmět: |
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| Zdroj: |
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2021, Vol. 8 Issue M/1, p155-162, 8p |
| Abstrakt: |
In recent years, Artificial Intelligence (AI) methods for 3D point cloud classification has assumed an essential role in the heritage field. The association of semantic information to 3D representations became a valuable instrument for measurement, analysis, education or maintenance, in particular in the Cultural Heritage (CH) sector. Moreover, the recent availability and reliability of head-mounted displays and glasses are allowing extraordinary immersive virtual experiences. This paper presents an end-to-end framework to handle large and complex 3D point clouds, from acquisition to semantic segmentation and final access in a Mixed Reality (MR) environment. Three completely different heritage scenarios are considered: the Temple of Neptune in Paestum, the Milan Cathedral and a large portion of Bologna's porticoes. Mixed Reality experiences are described and shown based on the Microsoft HoloLens 2 device. A video of the results is available at https://youtu.be/Kd_3s0tIX04. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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