Variable multilinear models for facial synthesis

Details Variable multilinear models for facial synthesis Variable multilinear models for facial synthesis

2006-11-07

2006-11-07

Bella, Matthew C. (Department: 2676)

Computer graphics processing and selective visual display system

Computer graphics processing

Attributes

C345S421000, C345S586000, C345S646000

Reexamination Certificate

active

07133048

ABSTRACT:
A method constructs a variable multilinear model representing a class of deformable surfaces. First, meshes of deformable surfaces are acquired. The meshes include vertices. The meshes have different identities and different expressions. The meshes can be obtained from images of human faces, where facial features, such as eyes, eyebrows, cheeks, nose, mouth and chin, form the deformable surfaces. The meshes are stored in a memory as elements of a data tensor. The data tensor is selectively flattened to matrices composed of column vectors. An imputative incremental singular value decomposition is applied to each matrix to generate a set of orthogonal bases. Then, the orthogonal bases are applied to the data tensor, via tensor multiplication, to construct a core tensor, which is the variable multilinear model representing the class of surfaces.

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