Face Gen - Approach

Approach

Although FaceGen generates conventional 3D mesh data, it uses a "parameterized" approach to defining the properties that make up a face, and by using a fixed set of parameters it is able to morph and modify a face model independently of output resolution. FaceGen 3.3 allows the user to randomize, tween, normalize and exaggerate faces, and also includes algorithms for adjusting apparent age, ethnicity and gender. It also allows limited parametric control of facial expressions, and includes a set of phoneme expressions for the animation of characters with "speaking" roles.

FaceGen can also generate 3D models from front and side images of a face, or by analyzing a single photograph.

Read more about this topic:  Face Gen

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