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Anatomy Transfer

Authors :
Benjamin Gilles
Olivier Palombi
Marie-Paule Cani
Dicko Ali-Hamadi
Ladislav Kavan
François Faure
Tiantian Liu
Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK)
Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Joseph Fourier - Grenoble 1 (UJF)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
University of Pennsylvania [Philadelphia]
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Laboratoire d'Anatomie des Alpes Françaises (LADAF)
CHU Grenoble
European Project: 291184,EC:FP7:ERC,ERC-2011-ADG_20110209,EXPRESSIVE(2012)
Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK)
Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
University of Pennsylvania
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Source :
ACM Transactions on Graphics, ACM Transactions on Graphics, Association for Computing Machinery, 2013, ACM SIGGRAPH ASIA, 32 (6), pp.Article No. 188. ⟨10.1145/2508363.2508415⟩, ACM Transactions on Graphics, 2013, ACM SIGGRAPH ASIA, 32 (6), pp.Article No. 188. ⟨10.1145/2508363.2508415⟩
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

International audience; Characters with precise internal anatomy are important in film and visual effects, as well as in medical applications. We propose the first semi-automatic method for creating anatomical structures, such as bones, muscles, viscera and fat tissues. This is done by transferring a reference anatomical model from an input template to an arbitrary target character, only defined by its boundary representation (skin). The fat distribution of the target character needs to be specified. We can either infer this information from MRI data, or allow the users to express their creative intent through a new editing tool. The rest of our method runs automatically: it first transfers the bones to the target character, while maintaining their structure as much as possible. The bone layer, along with the target skin eroded using the fat thickness information, are then used to define a volume where we map the internal anatomy of the source model using harmonic (Laplacian) deformation. This way, we are able to quickly generate anatomical models for a large range of target characters, while maintaining anatomical constraints.

Details

Language :
English
ISSN :
07300301 and 15577368
Database :
OpenAIRE
Journal :
ACM Transactions on Graphics, ACM Transactions on Graphics, Association for Computing Machinery, 2013, ACM SIGGRAPH ASIA, 32 (6), pp.Article No. 188. ⟨10.1145/2508363.2508415⟩, ACM Transactions on Graphics, 2013, ACM SIGGRAPH ASIA, 32 (6), pp.Article No. 188. ⟨10.1145/2508363.2508415⟩
Accession number :
edsair.doi.dedup.....baf3fe5010cff442e096c14ce8810bbd
Full Text :
https://doi.org/10.1145/2508363.2508415⟩