Facial modeling from an uncalibrated face image using flexiblegeneric parameterized facial models
Shinn-Yin Ho; Hui-Ling Huang
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Volume 31, Issue 5, Oct 2001 Page(s):706 - 719
Digital Object Identifier 10.1109/3477.956032
Summary:The paper presents an optimization approach for facial modeling
from an uncalibrated face image using flexible generic parameterized
facial models (FGPFMs). An FGPFM consists of a topological structure and
geometric knowledge of human faces. The topological description consists
of a set of well-designed triangular polygons with a multilayered
elastic structure in which the microstructural information can be
expressed without complicated facial features. All the geometric values
are obtained from a set of training facial models using statistical
approaches and genetic algorithms. FGPFM can be easily modified using
facial features as FGPFMs parameters to create an accurate specific
three-dimensional (3D) facial model from only a photograph of an
individual with a yawed face. In addition, the facial modeling problem
is formulated as a parameter optimization problem. A hybrid optimization
approach based on the Taguchi method and a best-first search algorithm
is used to accelerate the search for a near optimal solution.
Furthermore, sensitivity analysis and experimental results with texture
mapping demonstrate the effectiveness of the proposed approach
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