The technology integrated with Artificial Intelligence functionality allows the acquisi-tion of real spaces in an increasingly expeditious manner, giving the possibility of digitally con-figuring complex environments and experimenting with new digital surveying methodologies that differ from the established image/range-based techniques. In recent years, substantial advance-ments in the fields of computer graphics and computer vision have led to the emergence of inno-vative approaches, such as Gaussian Splatting, which have revolutionized 3D scene reconstruction and rendering processes. These methods offer remarkable improvements in both realism and com-putational efficiency. Moreover, in the digital age, the demand for accessible and user-friendly applications is constantly growing, and research is increasingly focused on solutions that offer essential functionality at cost-effective prices. These objectives are mainly pursued by exploiting open-source frameworks, cloud services, and simple methodologies to keep development costs low. The paper aims to validate the results of two Gaussian Splatting processes generated by ac-cessible and user-friendly applications, as well as using simple data as a starting point, such as videos recorded with 360-degree cameras. In this way, the work seeks to evaluate the effectiveness of these innovative techniques in producing high-quality 3D reconstructions, considering the sim-plicity of the process for users and costs.
Artificial Intelligence Alternatives for the Digitisation of Cultural Heritage, 3D Rendering Processes of the Sala Basile in Villa Igiea
Alessandro Basso
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2025-01-01
Abstract
The technology integrated with Artificial Intelligence functionality allows the acquisi-tion of real spaces in an increasingly expeditious manner, giving the possibility of digitally con-figuring complex environments and experimenting with new digital surveying methodologies that differ from the established image/range-based techniques. In recent years, substantial advance-ments in the fields of computer graphics and computer vision have led to the emergence of inno-vative approaches, such as Gaussian Splatting, which have revolutionized 3D scene reconstruction and rendering processes. These methods offer remarkable improvements in both realism and com-putational efficiency. Moreover, in the digital age, the demand for accessible and user-friendly applications is constantly growing, and research is increasingly focused on solutions that offer essential functionality at cost-effective prices. These objectives are mainly pursued by exploiting open-source frameworks, cloud services, and simple methodologies to keep development costs low. The paper aims to validate the results of two Gaussian Splatting processes generated by ac-cessible and user-friendly applications, as well as using simple data as a starting point, such as videos recorded with 360-degree cameras. In this way, the work seeks to evaluate the effectiveness of these innovative techniques in producing high-quality 3D reconstructions, considering the sim-plicity of the process for users and costs.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
