Active shape models—their training and application
Computer Vision and Image Understanding
Computer facial animation
An anthropometric face model using variational techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
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
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Head shop: generating animated head models with anatomical structure
Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation
Exploring gradient-based face navigation interfaces
GI '04 Proceedings of the 2004 Graphics Interface Conference
Face transfer with multilinear models
ACM SIGGRAPH 2005 Papers
A statistical model for synthesis of detailed facial geometry
ACM SIGGRAPH 2006 Papers
Parameterized Models for Facial Animation
IEEE Computer Graphics and Applications
Image-based photorealistic 3-D face modeling
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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This paper presents a novel data-driven method for creating realistic face models based on estimated high-level feature control models. Our method takes as examples 3D face scans. By bringing scanned models into full correspondence with a model fitting approach, we apply principal component analysis (PCA) to the exemplar shapes of each facial feature to build a shape space. We compute a set of face anthropometric measurements to parameterize example feature shapes in the measurement spaces. Using the PCA coefficients as a compact shape representation, we approach the shape synthesis problem by forming scattered data interpolation functions that are devoted to the generation of desired shape by taking the anthropometric parameters as input. The correspondence among all exemplar textures is obtained by parameterizing a 3D generic mesh over a 2D image domain. The new feature texture with desired attributes is synthesized by interpolating the example textures.