@inproceedings{d6067919eb364aab9f8b589fd518cdc5,
title = "Somigliana Coordinates: an elasticity-derived approach for cage deformation",
abstract = "In this paper, we present a novel cage deformer based on elasticity-derived matrix-valued coordinates. In order to bypass the typical shearing artifacts and lack of volume control of existing cage deformers, we promote a more elastic behavior of the cage deformation by deriving our coordinates from the Somigliana identity, a boundary integral formulation based on the fundamental solution of linear elasticity. Given an initial cage and its deformed pose, the deformation of the cage interior is deduced from these Somigliana coordinates via a corotational scheme, resulting in a matrix-weighted combination of both vertex positions and face normals of the cage. Our deformer thus generalizes Green coordinates, while producing physically-plausible spatial deformations that are invariant under similarity transformations and with interactive bulging control. We demonstrate the efficiency and versatility of our method through a series of examples in 2D and 3D.",
keywords = "Cage deformation, elasticity, free-form modeling, volume control",
author = "Jiong Chen and \{De Goes\}, Fernando and Mathieu Desbrun",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2023 ; Conference date: 06-08-2023 Through 10-08-2023",
year = "2023",
month = jul,
day = "23",
doi = "10.1145/3588432.3591519",
language = "English",
series = "Proceedings - SIGGRAPH 2023 Conference Papers",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings - SIGGRAPH 2023 Conference Papers",
}