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A Concept for Reconstructing Stucco Statues from Historic Sketches using Synthetic Data only

Pöllabauer, Thomas ; Kühn, Julius (2022)
A Concept for Reconstructing Stucco Statues from Historic Sketches using Synthetic Data only.
20th Eurographics Workshop on Graphics and Cultural Heritage (GCH 2022). Delft, The Netherlands (28.09.2022 - 30.09.2022)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Pöllabauer, Thomas ; Kühn, Julius
Art des Eintrags: Bibliographie
Titel: A Concept for Reconstructing Stucco Statues from Historic Sketches using Synthetic Data only
Sprache: Englisch
Publikationsjahr: 2022
Veranstaltungstitel: 20th Eurographics Workshop on Graphics and Cultural Heritage (GCH 2022)
Veranstaltungsort: Delft, The Netherlands
Veranstaltungsdatum: 28.09.2022 - 30.09.2022
Kurzbeschreibung (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.

Freie Schlagworte: Cultural heritage, Machine learning, Computer vision
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 13 Nov 2024 12:43
Letzte Änderung: 13 Nov 2024 12:43
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