Predicting Natural Hair Shapes by Solving the Statics of Flexible Rods

Florence Bertails 1, * Basile Audoly 2 Bernard Querleux 3 Frédéric Leroy 3 Jean-Luc Lévêque 3 Marie-Paule Cani 1
* Auteur correspondant
1 EVASION - Virtual environments for animation and image synthesis of natural objects
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper presents a new physically-based method for predicting natural hairstyles in the presence of gravity and collisions. The method is based upon a mechanically accurate model for static elastic rods (Kirchhoff model), which accounts for the natural curliness of hair, as well as for hair ellipticity. The equilibrium shape is computed in a stable and easy way by energy minimization. This yields various typical hair configurations that can be observed in the real world, such as ringlets. As our results show, the method can generate different hair types with a very few input parameters, and perform virtual hairdressing operations such as wetting, cutting and drying hair.
Type de document :
Communication dans un congrès
Dingliana J. et Ganovelli F. Eurographics Short Papers, Aug 2005, Dublin, Ireland. Eurographics, 2005
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Contributeur : Marie-Paule Cani <>
Soumis le : mercredi 25 avril 2012 - 14:36:24
Dernière modification le : jeudi 11 janvier 2018 - 06:21:33
Document(s) archivé(s) le : vendredi 24 décembre 2010 - 02:30:00

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  • HAL Id : inria-00402611, version 1

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Florence Bertails, Basile Audoly, Bernard Querleux, Frédéric Leroy, Jean-Luc Lévêque, et al.. Predicting Natural Hair Shapes by Solving the Statics of Flexible Rods. Dingliana J. et Ganovelli F. Eurographics Short Papers, Aug 2005, Dublin, Ireland. Eurographics, 2005. 〈inria-00402611〉

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