Quan, Wei, Matuszewski, Bogdan and Shark, Lik (2010) IMPROVED 3-D FACIAL REPRESENTATION THROUGH STATISTICAL SHAPE MODEL. In: Image Processing (ICIP), 2010 17th IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), Reston, VA, pp. 2433-2436. ISBN 978-1-4244-7992-4
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Official URL: http://dx.doi.org/10.1109/ICIP.2010.5651357
This paper describes an improved 3-D facial representation method capable of modeling different types of faces without any constraint from expression, age, gender, or ethnic origin. Using the proposed technique, a 3-D face can be represented by a low dimensional shape space vector (SSV) of the statistical shape model (SSM), which is calculated through a model-based surface registration process. This model-based surface registration method consists of two major processing stages, model building and hierarchical model fitting. A statistical shape model is first built using a set of training faces. Then the model is deformed to match the new face by a modified iterative closest point (ICP)scheme. The experimental results on real 3-D facial data show that the proposed method can reasonably interpret the articulation of 3-D faces.
|Item Type:||Book Section|
|Uncontrolled Keywords (separate with ;):||3-D face matching ; facial articulation ; facial representation ; model-based surface registration ; statistical shape modeling|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)|
|Schools:||College of Science and Technology > School of Computing Engineering & Physical Sciences|
|Deposited By:||Wei Quan|
|Deposited On:||11 Jun 2012 12:37|
|Last Modified:||24 Mar 2014 13:18|
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