DocumentCode :
506765
Title :
Interactive facial sketch expression generation using local constraints
Author :
Yang, Yang ; Zheng, Nanning ; Liu, Yuehu ; Yang, Lei ; Wei, Ping ; Nishio, Yoshifumi
Volume :
2
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
864
Lastpage :
868
Abstract :
In this paper, an interactive sketch expression generation method is presented. By dragging one or a few control points on a new input sketch face, the system can draw corresponding natural expressions automatically. However, for an unseen target, with just a few knowledge of its neutral face, users´ arbitrary input will often lead to unnatural even unreasonable results. In the proposed method, two kinds of priors are learnt from a set of different facial examples first-facial shape prior and correlated motion prior, which guarantee the global facial structures and the specific correlated motion regulations of the face respectively. Then, we present an integrated statistic face model to combine these two priors with user-input local constraints. The experimental results showed that our method could generate natural expression results to satisfy the user´s requirements. Our interactive system is also easy and simple to operate even for the first-time user.
Keywords :
computer animation; face recognition; interactive systems; statistical analysis; correlated motion prior; facial shape prior; global facial structures; integrated statistic face model; interactive facial sketch expression generation; interactive system; local constraints; natural expressions; neutral face; specific correlated motion regulations; Artificial intelligence; Automatic control; Control systems; Electronic commerce; Facial animation; Intelligent robots; Interactive systems; Shape; Statistics; Videoconference; interactive system; sketch expression generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358275
Filename :
5358275
Link To Document :
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