Mean value coordinates-based caricature and expression synthesis
Authors: Yu, H. and Zhang, J.J.
Journal: Signal, Image and Video Processing
Pages: 1-12
eISSN: 1863-1711
ISSN: 1863-1703
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. © 2011 Springer-Verlag London Limited.
Source: Scopus
Mean value coordinates-based caricature and expression synthesis
Authors: Yu, H. and Zhang, J.J.
Journal: SIGNAL IMAGE AND VIDEO PROCESSING
Volume: 7
Issue: 5
Pages: 899-910
eISSN: 1863-1711
ISSN: 1863-1703
DOI: 10.1007/s11760-011-0279-8
Source: Web of Science (Lite)
Mean value coordinates–based caricature and expression synthesis
Authors: Yu, H. and Zhang, J.J.
Journal: Signal, Image and Video Processing
Volume: 7
Issue: 5
Pages: 899-910
ISSN: 1863-1703
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.
http://www.springerlink.com/content/mm7226n24834hq1g/
Source: Manual
Preferred by: Jian Jun Zhang