Abstract
In this paper, we present a procedure which makes available an accurate historic BIM (HBIM) in the cloud. Data processing is carried out with a NURBS-based strategy to reduce the size of the final HBIM derived from images and laser scans, providing an accurate and reliable 3D model with limited memory occupation. This guarantees a remote access with PCs and mobile devices connected through a cloud service.
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CITATION STYLE
Barazzetti, L., Banfi, F., & Brumana, R. (2016). Historic BIM in the cloud. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10058 LNCS, pp. 104–115). Springer Verlag. https://doi.org/10.1007/978-3-319-48496-9_9
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