Semantic Correspondence Across 3D Models for Example-based Modeling

Léon, Vincent; Itier, Vincent; Bonneel, Nicolas; Lavoué, Guillaume; Vandeborre, Jean-Philippe

Semantic Correspondence Across 3D Models for Example-based Modeling

Files

121-127.pdf (6 MB)

Date

2017

Authors

Léon, Vincent
Itier, Vincent
Bonneel, Nicolas
Lavoué, Guillaume
Vandeborre, Jean-Philippe

Publisher

The Eurographics Association

Abstract

Modeling 3D shapes is a specialized skill not affordable to most novice artists due to its complexity and tediousness. At the same time, databases of complex models ready for use are becoming widespread, and can help the modeling task in a process called example-based modeling. We introduce such an example-based mesh modeling approach which, contrary to prior work, allows for the replacement of any localized region of a mesh by a region of similar semantics (but different geometry) within a mesh database. For that, we introduce a selection tool in a space of semantic descriptors that co-selects areas of similar semantics within the database. Moreover, this tool can be used for part-based retrieval across the database. Then, we show how semantic information improves the assembly process. This allows for modeling complex meshes from a coarse geometry and a database of more detailed meshes, and makes modeling accessible to the novice user.

        @inproceedings{10.2312:3dor.20171061
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {Ioannis Pratikakis and Florent Dupont and Maks Ovsjanikov
},
title = {{Semantic Correspondence Across 3D Models for Example-based Modeling
}},
author = {Léon, Vincent and 
Itier, Vincent and 
Bonneel, Nicolas and 
Lavoué, Guillaume and 
Vandeborre, Jean-Philippe
},
year = {2017
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-03868-030-7
},
DOI = {10.2312/3dor.20171061
}
}