Geometry-driven photorealistic facial expression synthesis
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Spacetime faces: high resolution capture for modeling and animation
ACM SIGGRAPH 2004 Papers
3D People Tracking with Gaussian Process Dynamical Models
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Face poser: interactive modeling of 3D facial expressions using model priors
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Stylized synthesis of facial speech motions
Computer Animation and Virtual Worlds - CASA 2007
Orthogonal-Blendshape-Based Editing System for Facial Motion Capture Data
IEEE Computer Graphics and Applications
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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.