The military architecture of the ancient Republic of Venice is a very significant heritage. These are structures with simple volumes in the building and functional in the distribution; they are often little considered because, wrongly, they are considered minor. The cultural capital that must be documented and digitized to preserve, improve and preserve. The case study of the “Torresino da Polvere” in via Beltrami, in the upper town of Bergamo, was used as a pretext for a comparative analysis between the 3D models. Models generated by the direct processing of data from photographic sensors and those obtained from image processing after conventional raw conversion processes. The research, based on rigorous experimentation, proposes a new method of capture and frame management in order to obtain high quality models directly from the raw data. The results allowed some interesting considerations; they highlighted the singular peculiarities of some software in the management of raw data, both for a higher accuracy of the returns, and for an unexpected speed of calculation.

(2022). Comparative analysis among photogrammetric 3D model: s RAW Data vs. RGB Images . Retrieved from http://hdl.handle.net/10446/202348

Comparative analysis among photogrammetric 3D model: s RAW Data vs. RGB Images

Cardaci, Alessio;Azzola, Pietro;
2022

Abstract

The military architecture of the ancient Republic of Venice is a very significant heritage. These are structures with simple volumes in the building and functional in the distribution; they are often little considered because, wrongly, they are considered minor. The cultural capital that must be documented and digitized to preserve, improve and preserve. The case study of the “Torresino da Polvere” in via Beltrami, in the upper town of Bergamo, was used as a pretext for a comparative analysis between the 3D models. Models generated by the direct processing of data from photographic sensors and those obtained from image processing after conventional raw conversion processes. The research, based on rigorous experimentation, proposes a new method of capture and frame management in order to obtain high quality models directly from the raw data. The results allowed some interesting considerations; they highlighted the singular peculiarities of some software in the management of raw data, both for a higher accuracy of the returns, and for an unexpected speed of calculation.
Cardaci, Alessio; Azzola, Pietro; Bianchessi, Michele; Folli, Ruggero; Rapelli, Simone
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10446/202348
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