3D MODELING of A COMPLEX BUILDING: From MULTI-VIEW IMAGE FUSION to GOOGLE EARTH PUBLICATION

1Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

This paper presents a pipeline that aims at illustrating the procedure to realize a 3D model of a complex building integrating the UAV and terrestrial images and modifying the 3D model in order to publish to Google Earth in an interactive modality so as to provide better available models for visualization and use. The main steps of the procedure are the optimization of the UAV flight, the integration of the different UAV and ground floor images and the optimization of the model to be published to GE. The case study has been identified in a building, The Eremo di Santa Rosalia Convent in Sicily which hash more staggered elevations and located in the hills of the hinterland and of which, the online platform only indicate the position on Google Maps (GM) and Google Earth (GE) with a photo from above and a non-urban road whose GM path is not corresponding with the GE photo. The process highlights the integration of the models and showcases a workflow for the publication of the combined 3D model to the GE platform.

References Powered by Scopus

Unmanned aerial systems for photogrammetry and remote sensing: A review

2296Citations
N/AReaders
Get full text

Detailed real-time urban 3D reconstruction from video

638Citations
N/AReaders
Get full text

Reconstructing building mass models from UAV images

98Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Assessing the orange tree crown volumes using Google Maps as a low-cost photogrammetric alternative

15Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Inzerillo, L., Leto Barone, F., & Roberts, R. (2019). 3D MODELING of A COMPLEX BUILDING: From MULTI-VIEW IMAGE FUSION to GOOGLE EARTH PUBLICATION. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 42, pp. 577–584). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLII-2-W15-577-2019

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

50%

Researcher 3

50%

Readers' Discipline

Tooltip

Design 2

33%

Computer Science 2

33%

Arts and Humanities 2

33%

Save time finding and organizing research with Mendeley

Sign up for free