Mean value coordinates–based caricature and expression synthesis.

Yu, H. and Zhang, J. J., 2013. Mean value coordinates–based caricature and expression synthesis. Signal, Image and Video Processing, 7 (5), pp. 899-910.

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Official URL: http://www.springerlink.com/content/mm7226n24834hq...

DOI: 10.1007/s11760-011-0279-8

Abstract

We present a novel method for caricature synthesis based on mean value coordinates (MVC). Our method can be applied to any single frontal face image to learn a specified caricature face pair for frontal and 3D caricature synthesis. This technique only requires one or a small number of exemplar pairs and a natural frontal face image 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 applied to facial expression transfer, interpolation, and exaggeration, which are applications of expression editing. Additionally, we have extended our approach to 3D caricature synthesis based on the 3D version of MVC. With experiments we demonstrate that the transferred expressions are credible and the resulting caricatures can be characterized and recognized.

Item Type:Article
ISSN:1863-1703
Uncontrolled Keywords:Caricature and expression synthesis – Mean value coordinates
Subjects:Generalities > Computer Science and Informatics
Group:Media School > National Centre for Computer Animation
ID Code:19719
Deposited By:Mr Hongchuan Yu
Deposited On:30 Mar 2012 19:58
Last Modified:10 Sep 2013 11:18

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