Title
3D emotional facial animation synthesis with factored conditional Restricted Boltzmann Machines
Abstract
This paper presents a 3D emotional facial animation synthesis approach based on the Factored Conditional Restricted Boltzmann Machines (FCRBM). Facial Action Parameters (FAPs) extracted from 2D face image sequences, are adopted to train the FCRBM model parameters. Based on the trained model, given an emotion label sequence and several initial frames of FAPs, the corresponding FAP sequence is generated via the Gibbs sampling, and then used to construct the MPEG-4 compliant 3D facial animation. Emotion recognition and subjective evaluation on the synthesized animations show that the proposed method can obtain natural facial animations representing well the dynamic process of emotions. Besides, facial animation with smooth emotion transitions can be obtained by blending the emotion labels.
Year
DOI
Venue
2015
10.1109/ACII.2015.7344664
ACII
Keywords
Field
DocType
facial expression synthesis, FCRBM, FAP
Data modeling,Communication,Emotion recognition,Computer science,Feature extraction,Speech recognition,Computer facial animation,Hidden Markov model,Conditional restricted boltzmann machines,Gibbs sampling,Facial motion capture
Conference
ISSN
Citations 
PageRank 
2156-8103
1
0.35
References 
Authors
19
3
Name
Order
Citations
PageRank
Yong Zhao1324.11
Jiang Dongmei211515.28
Hichem Sahli347565.19