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Real-time expression cloning using active appearance models

B. Theobald, Iain Matthews, Jeffrey Cohn and S. Boker
Conference Paper, Proceedings of the ACM International Conference on Multimodal Interfaces (ICMI'07), pp. 134 - 139, January, 2007

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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.

author = {B. Theobald and Iain Matthews and Jeffrey Cohn and S. Boker},
title = {Real-time expression cloning using active appearance models},
booktitle = {Proceedings of the ACM International Conference on Multimodal Interfaces (ICMI'07)},
year = {2007},
month = {January},
pages = {134 - 139},
} 2017-09-13T10:42:21-04:00