DocumentCode :
2494918
Title :
Automatic 3D lip shape segmentation and modelling
Author :
Gastelum, A. ; Krueger, M. ; Marquez, J. ; Farb, G. Gimel ; Delmas, P.
Author_Institution :
Comput. Sci., Univ. of Auckland, Auckland
fYear :
2008
fDate :
26-28 Nov. 2008
Firstpage :
1
Lastpage :
6
Abstract :
The correct representation of the 3D lipspsila movement has been receiving growing interest in different industries. We present a new user-specific 3D mechanical lips model. Static 3D face measurements are obtained from readily available acquisition devices (either a 3D scanner or an active illumination stereo rig). The lip contours are extracted from the face surface using our recently proposed algorithm for segmentation 3D surfaces using active contours. The algorithm allows to obtain different lip surfaces that can be used as input data for the 3D mechanical model. The 3D lips are modeled as a set of particles whose dynamic behaviour is governed by the Smooth Particles Hydrodynamics (SPH). Finally, a force field derived from ellipsoid muscle encircling the lips simulates the muscles controlling the lips motion. Experiments confirmed good potentialities of the proposed approach.
Keywords :
face recognition; hydrodynamics; image segmentation; solid modelling; 3D face measurements; 3D lips movement; 3D mechanical lips model; automatic 3D lip shape modelling; automatic 3D lip shape segmentation; smooth particles hydrodynamics; Active contours; Data mining; Ellipsoids; Force control; Hydrodynamics; Lighting; Lips; Motion control; Muscles; Shape; 3D Lips Segmentation; Geodesic Active Contours; Implicit Surfaces; Mesh-Free Method; Smooth Particles Hydrodynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-3780-1
Electronic_ISBN :
978-1-4244-2583-9
Type :
conf
DOI :
10.1109/IVCNZ.2008.4762117
Filename :
4762117
Link To Document :
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