IMAGE and VIDEO Group for MultiMedia Communications and Applications
||So far we have been using range data obtained from cylindrical
range finders to build person-dependent realistic face models. Such scanners
produce a dense range image with itscorresponding cylindrical color texture.
However, the dataset cannot be used directly because it is too dense (in
average 1.4 million vertices) and sometimes includes some outliers.
To achieve both visual realism and real-time
computation, we need a geometric model with a limited number of vertices
but with enough details in order to distinguish facial features such as
the lips or eyebrows. We have developed a reconstruction system based on
deformable simplex meshes to build such models. The final result is a 3D
wireframe, refined specifically a some facial features to offer
more precision, while keeping the number of vertices reasonably low. This
wireframe is then mapped with a cylindrical texture
image (coming from the CYBERWARETM
scan), via a set of texture coordinates, and looks highly realistic under
point of view.
Currently, part of our research is focused on the development
of a low
cost 3D modeling method. Our main goal is to obtain realistic 3D head
models using very basic equipment. Eventually we will test these models
in our system to prove the model-independence of our approach.
We also implemented some animation techniques so that
our face models are capable of facial expressions.