Synthesizing realistic facial expressions from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Performance-driven hand-drawn animation
NPAR '00 Proceedings of the 1st international symposium on Non-photorealistic animation and rendering
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
International Journal of Computer Vision
Animated deformations with radial basis functions
VRST '00 Proceedings of the ACM symposium on Virtual reality software and technology
Face Recognition Using Active Appearance Models
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Learning controls for blend shape based realistic facial animation
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
The space of human body shapes: reconstruction and parameterization from range scans
ACM SIGGRAPH 2003 Papers
Active Appearance Models Revisited
International Journal of Computer Vision
Spacetime faces: high resolution capture for modeling and animation
ACM SIGGRAPH 2004 Papers
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Face transfer with multilinear models
ACM SIGGRAPH 2005 Papers
Clustered Blockwise PCA for Representing Visual Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometry-Driven Photorealistic Facial Expression Synthesis
IEEE Transactions on Visualization and Computer Graphics
A Validated Method for Dense Non-rigid 3D Face Registration
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Key Point Subspace Acceleration and soft caching
ACM SIGGRAPH 2007 papers
Journal of Cognitive Neuroscience
Real-time data driven deformation using kernel canonical correlation analysis
ACM SIGGRAPH 2008 papers
Face poser: Interactive modeling of 3D facial expressions using facial priors
ACM Transactions on Graphics (TOG)
Direct Manipulation Blendshapes
IEEE Computer Graphics and Applications
Real-time object detection and localization with SIFT-based clustering
Image and Vision Computing
Interactive steering of mesh animations
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Interactive steering of mesh animations
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Sparse localized deformation components
ACM Transactions on Graphics (TOG)
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Linear models, particularly those based on principal component analysis (PCA), have been used successfully on a broad range of human face-related applications. Although PCA models achieve high compression, they have not been widely used for animation in a production environment because their bases lack a semantic interpretation. Their parameters are not an intuitive set for animators to work with. In this paper we present a linear face modelling approach that generalises to unseen data better than the traditional holistic approach while also allowing click-and-drag interaction for animation. Our model is composed of a collection of PCA sub-models that are independently trained but share boundaries. Boundary consistency and user-given constraints are enforced in a soft least mean squares sense to give flexibility to the model while maintaining coherence. Our results show that the region-based model generalises better than its holistic counterpart when describing previously unseen motion capture data from multiple subjects. The decomposition of the face into several regions, which we determine automatically from training data, gives the user localised manipulation control. This feature allows to use the model for face posing and animation in an intuitive style.