A Minimalist Approach to Facial Reconstruction

Since the overall appear- ance of a human face is very much influenced by its internal tissue and muscle structure, the multilayered model is the most promising for realistic

In the virtual reconstruction approach presented here, this does not pose a problem: since the fitted head model has the animatable structure of skin and muscles, different

We accomplish this using a template knowledge-base in the form of a statistical model that through a maximum likelihood approach knows how faces are constructed, and can model

Figure 2: Our hybrid face animation pipeline computes the large-scale facial motion from a linear deformation model, and adds fine-scale details using a pose-space deformation

After establishing the dense correspondences, we first transfer the facial expressions onto the deformed model by a deformation transfer technique, and then obtain the final

Dynamic face anal- ysis approaches can be divided into four categories: tempo- ral tracking of facial landmarks, temporal tracking of facial critical points, mapping 3D facial

The input to our tracking procedure is a sequence of facial images. To get the initial shape of the neutral face, as seen in the first frame, one can, e.g., use an approach similar

We take a different approach and constrain the problem by: (i) making use of a realistic statistical body model that includes anthropometric constraints and (ii) using a