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
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