Face Detection and Modeling for Recognition - Biometrics Research ...
Face Detection and Modeling for Recognition - Biometrics Research ...
Face Detection and Modeling for Recognition - Biometrics Research ...
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Chapter 5<br />
Semantic <strong>Face</strong> <strong>Recognition</strong><br />
In this chapter, we will describe semantic face matching (see Fig. 1.6 in Chapter 1)<br />
based on color input images <strong>and</strong> a generic 3D face model. We will give the details of (i)<br />
the face modeling from a single view (i.e., the frontal view), called face alignment, <strong>and</strong><br />
(ii) recognition module in the semantic face matching algorithm. Section 5.1 describes<br />
the concept of semantic facial components, the semantic face graph, the generic 3D<br />
face model, <strong>and</strong> interacting snakes (multiple snakes that interact with each other).<br />
Section 5.2 describes the coarse alignment between the semantic graph <strong>and</strong> the input<br />
image based on the results of face detection. Section 5.3 presents the process of fine<br />
alignment of the semantic graph using interacting snakes. We explain how to compute<br />
the matching scores <strong>for</strong> graph alignment, <strong>and</strong> then show the resultant facial sketches<br />
<strong>and</strong> cartoon faces. Section 5.4 describes a semantic face matching method <strong>for</strong> recognizing<br />
faces, the use of component weights based on alignment scores, <strong>and</strong> the cost<br />
function <strong>for</strong> face identification. Then we give the algorithm of the proposed semantic<br />
face matching. We illustrate the generated cartoon faces from aligned semantic face<br />
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