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Caricature Synthesis Based on Mean Value Coordinates.

Yu, H. and Zhang, J. J., 2010. Caricature Synthesis Based on Mean Value Coordinates. In: CASA 2010: Proceedings of the 23rd International Conference on Computer Animation and Social Agents , 31 May-2 June 2010, Saint-Malo, France. (Unpublished)

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In this paper, a novel method for caricature synthesis is developed based on mean value coordinates (MVC). Our method can be applied to any single frontal face image to learn a specified caricature face exemplar pair for frontal and side view caricature synthesis. The technique only requires one or a small number of caricature face pairs and a natural frontal face training set, while the system can transfer the style of the exemplar pair across individuals. Further exaggeration can be fulfilled in a controllable way. Our method is further extended to facial expression transfer, interpolation and exaggeration, which are applications of expression editing. Moreover, the deformation equation of MVC is modified to handle the case of polygon intersections and applied to lateral view caricature synthesis from a single frontal view image. Using experiments we demonstrate that the transferred expressions are credible and the resulting caricatures can be characterized and recognized.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Media & Communication
ID Code:14737
Deposited By: Mr Hongchuan Yu
Deposited On:21 May 2010 11:06
Last Modified:14 Mar 2022 13:32


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