Many unresolved challenges surround source-based 3D reconstruction in archaeology, art, and architectural history. In this context, here we focus on evaluating source-based 3D reconstructions, emphasising uncertainty assessment of destroyed or never built artefacts. Key questions address expressing and sharing uncertainty in data models, examining the efforts to define standards for 3D models ensuring authenticity, transparency, and accessibility. Various strategies for visualising uncertainty are discussed, aiming to establish uniformity. The study also advocates for sharing models via virtual research environments, promoting open access and complying with Linked Open Data principles.
Digital 3D reconstruction as a research environment in art and architecture history : uncertainty classification and visualisation
Cazzaro, Irene
2025-01-01
Abstract
Many unresolved challenges surround source-based 3D reconstruction in archaeology, art, and architectural history. In this context, here we focus on evaluating source-based 3D reconstructions, emphasising uncertainty assessment of destroyed or never built artefacts. Key questions address expressing and sharing uncertainty in data models, examining the efforts to define standards for 3D models ensuring authenticity, transparency, and accessibility. Various strategies for visualising uncertainty are discussed, aiming to establish uniformity. The study also advocates for sharing models via virtual research environments, promoting open access and complying with Linked Open Data principles.File | Dimensione | Formato | |
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