Browse Reports

Image analysis and graphics synthesis can be achieved with learning techniques using directly image examples without physically-based, 3D models. In our technique: -- the mapping from novel images to a vector of ``pose'''' and ``expression'''' parameters can be learned from a small set of example images using a function approximation technique that we call an {\it analysis network}; -- the inverse mapping from input ``pose'''' and ``expression'''' parameters to output images can be synthesized from a small set of example images and used to produce new images using a similar {\it synthesis network}. The techniques described here have several applications in computer graphics, special effects, interactive multimedia and very low bandwidth teleconferencing.