|
Thesis:
My research involves designing a
novel face recognition algorithm that is based on the consideration
of anatomical and biomechanical characteristics
of facial tissues. Elastic strain pattern inferred from face
expression can reveal an individual’s signature
associated with the underlying anatomical structure, and
thus has the potential for face recognition. A
method based on the continuum mechanics in finite element
formulation is employed to compute the strain
pattern. Experiments show very promising results. The
proposed method is quite different from other
face recognition methods and both its advantages and
limitations, as well as future improvements are
possible.
|