At SIGGRAPH 2014, Microsoft Research demoed several new projects they have been working on. One of them was the controllable high-fidelity 3D facial performance transfer. For example, you can transfer your facial expressions to a dog’s face.
Recent technological advances in facial capture have made it possible to acquire high-fidelity 3D facial performance data with stunningly high spatial-temporal resolution. This paper introduces a novel facial expression transfer and editing technique for high-fidelity facial performance data. The key idea of our approach is to decompose high-fidelity facial performances into high-level facial feature lines, large-scale facial deformation and fine-scale motion details and transfer them appropriately to reconstruct the retargeted facial animation in an efficient optimization framework. This project was among Microsoft Research’s contributions to SIGGRAPH 2014.
Read more about it at MSR.