NDLI: Interactive modeling of 3D facial expressions with hierarchical Gaussian process latent variable models

Content Provider	IEEE Xplore Digital Library
Author	Fuhao Shi Yuru Pei Hongbin Zha
Copyright Year	2009
Description	Author affiliation: Key Laboratory of Machine Perception (MOE), Peking University, Beijing, 100871, China (Fuhao Shi; Yuru Pei; Hongbin Zha)
Abstract	The natural expressions play an important role in the daily communication. The efficient and intuitive facial expression editing based on the limited constraints is desirable in the facial animation. In this paper, we present an interactive 3D facial expression editing system with the hierarchical Gaussian process latent variable model (HGPLVM). The hierarchical model incorporates the joint work of the local facial features to produce the natural expressions. To deal with the holistic expression modeling from the local constraints, the inverse mapping between the low-level feature nodes and the high-level facial region nodes is established by the RBF regression model in the latent space. A propagation algorithm is introduced to predict the holistic facial configurations. The experiments demonstrate the 3D facial expressions satisfying the user constraints can be produced efficiently.
Starting Page	2477
Ending Page	2480
File Size	982574
Page Count	4
File Format	PDF
ISBN	9781424456536
ISSN	15224880
e-ISBN	9781424456543
e-ISBN	9781424456550
DOI	10.1109/ICIP.2009.5413996
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gaussian processes Facial features Shape Laboratories Facial animation Inverse problems Principal component analysis Humans Tracking inverse mapping 3D expression editing hierarchical Gaussian process latent variable model
Content Type	Text
Resource Type	Article

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