Face Detection and Modeling for Recognition - Biometrics Research ...

An advanced modeling approach which incorporates a priori knowledge of facial
geometry has been proposed for efficiently building face models.
We call the
model representing the general facial geometry as a generic face model. Waters’ face
model [69], shown in Fig. 2.8(a), is a well-known instance of polygonal facial surfaces.
Figure 2.8(b) shows some other generic face models. The one used by Blanz and Vet-
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(a)
Figure 2.8. Generic face models: (a) Water’s animation model; (b) anthropometric
measurements; (b) six kinds of face models for representing general facial geometry.
(b)
ter is a statistics-based face model which is represented by the principal components
of shape and texture data. Reinders et al. [72] used a fairly coarse wire-frame model,
compared to Waters’ model, to do model adaptation for image coding. Yin et al.
[118] proposed a MPEG4 face modeling method that uses fiducial points extracted
from two face images at frontal and profile views. Their feature extraction is simply
based on the results of intensity thresholding and edge detection. Similarly, Lee et
al. [119] have proposed a method that modifies a generic model using either two orthogonal
pictures (frontal and profile views) or range data, for animation. Similarly,
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