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  4. A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only
 
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2022
Conference Paper
Title

A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only

Abstract
In medieval times, stuccoworkers used a red color, called sinopia, to first create a sketch of the to-be-made statue on the wall. Today, many of these statues are destroyed, but using the original drawings, deriving from the red color also called sinopia, we can reconstruct how the final statue might have looked. We propose a fully-automated approach to reconstruct a point cloud and show preliminary results by generating a color-image, a depth-map, as well as surface normals requiring only a single sketch, and without requiring a collection of other, similar samples. Our proposed solution allows real-time reconstruction on-site, for instance, within an exhibition, or to generate a useful starting point for an expert, trying to manually reconstruct the statue, all while using only synthetic data for training.
Author(s)
Pöllabauer, Thomas  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kühn, Julius
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
GCH 2022, Eurographics Workshop on Graphics and Cultural Heritage  
Conference
Workshop on Graphics and Cultural Heritage 2022  
Open Access
DOI
10.2312/gch.20221216
10.24406/h-477113
File(s)
2022_011-014.pdf (4.75 MB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Digitized Work

  • Lead Topic: Visual Computing as a Service

  • Research Line: Computer graphics (CG)

  • Research Line: Computer vision (CV)

  • Research Line: Modeling (MOD)

  • Research Line: Machine learning (ML)

  • Cultural heritage

  • Machine learning

  • Computer vision

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