Automatic Facial Anonymisation Using Average Face Morphing. An explorative attempt at designing a tool for investigating the normative views of journalism practices in dealing with manipulation and usage of facial press photographies.

To generate a realistic avatar, a generic face model is manu- ally adjusted to user’s frontal face image to produce a per- sonal face model and all of the control rules for

After warping the generic model into its new shape, we can further improve the shape using a local deformation which ensures that all the generic mesh vertices are truly embedded in

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

We achieve this using a very small set of prior knowledge in the form of facial expressions and phonemes, which is used to fit a Gaussian mixture model that maps sketched strokes

Using a multi-class SVM classification, and a large set of experiments an average facial expression recognition rate of 77.54% is obtained for the six basic facial expressions, on

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 SPH technique and the corpuscular technique are superior to the Eulerian technique and the Lagrangian technique (with erosion) when it is applied to materials that have fluid