Real-time expression cloning using appearance models

  • Authors:
  • Barry-John Theobald;Iain A. Matthews;Jeffrey F. Cohn;Steven M. Boker

  • Affiliations:
  • University of East Anglia, Norwich, England UK;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University and University of Pittsburgh, Pittsburgh, PA;University of Virginia, Charlottesville, VA

  • Venue:
  • Proceedings of the 9th international conference on Multimodal interfaces
  • Year:
  • 2007

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Abstract

Active Appearance Models (AAMs) are generative parametric models commonly used to track, recognise and synthesise faces in images and video sequences. In this paper we describe a method for transferring dynamic facial gestures between subjects in real-time. The main advantages of our approach are that: 1) the mapping is computed automatically and does not require high-level semantic information describing facial expressions or visual speech gestures. 2) The mapping is simple and intuitive, allowing expressions to be transferred and rendered in real-time. 3) The mapped expression can be constrained to have the appearance of the target producing the expression, rather than the source expression imposed onto the target face. 4) Near-videorealistic talking faces for new subjects can be created without the cost of recording and processing a complete training corpus for each. Our system enables face-to-face interaction with an avatar driven by an AAM of an actual person in real-time and we show examples of arbitrary expressive speech frames cloned across different subjects.