A Canonical Face Based Virtual Face Modeling

The research presented here is to create 3D virtual face based on the canonical face model derived from a clustering method on facial feature points. The algorithm efficiently transforms feature points of the canonical face model into those of the new face model for input images without creating new face manually. By comparative experiments, we have shown both facial models generated by manually and automatically. In conclusion, both facial models are quite identical visually whereas efficiency is totally different.