Mean value coordinates-based caricature and expression synthesis

This source preferred by Jian Jun Zhang and Hongchuan Yu

This data was imported from Scopus:

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

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.

The data on this page was last updated at 05:26 on October 22, 2020.