Approximate Reconstruction of 3D Scenes From Bas-Reliefs
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Date
2019Author
Casati, Pierre
Ronfard, Rémi
Hahmann, Stefanie
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For thousands of years, bas-reliefs have been used to depict scenes of everyday life, mythology and historic events. Yet, the precise geometry of those scenes remains difficult to interpret and reconstruct. Over the past decade, methods have been developed for generating bas-reliefs from 3D scenes. In this paper, we investigate the inverse problem of interpreting and reconstructing 3D scenes from their bas-relief depictions. Even approximate reconstructions can be useful for art historians and museum exhibit designers, as a first entry to the complete interpretation of the narratives told in stone or marble. To create such approximate reconstructions, we present methods for extracting 3D base mesh models of all characters depicted in a bas-relief. We take advantages of the bas-relief geometry and high-level knowledge of human body proportions to recover body parts and their three-dimensional structure, even in severe cases of contact and occlusion. We present experimental results for 6 bas-relief depictions of Greek mythological and historical scenes involving 18 characters and draw conclusions for future work.
BibTeX
@inproceedings {10.2312:gch.20191356,
booktitle = {Eurographics Workshop on Graphics and Cultural Heritage},
editor = {Rizvic, Selma and Rodriguez Echavarria, Karina},
title = {{Approximate Reconstruction of 3D Scenes From Bas-Reliefs}},
author = {Casati, Pierre and Ronfard, Rémi and Hahmann, Stefanie},
year = {2019},
publisher = {The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-082-6},
DOI = {10.2312/gch.20191356}
}
booktitle = {Eurographics Workshop on Graphics and Cultural Heritage},
editor = {Rizvic, Selma and Rodriguez Echavarria, Karina},
title = {{Approximate Reconstruction of 3D Scenes From Bas-Reliefs}},
author = {Casati, Pierre and Ronfard, Rémi and Hahmann, Stefanie},
year = {2019},
publisher = {The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-082-6},
DOI = {10.2312/gch.20191356}
}