Realistic modeling for facial animation
SIGGRAPH '95 Proceedings of the 22nd 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
Combining PCA and LFA for Surface Reconstruction from a Sparse Set of Control Points
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Efficient 3D reconstruction for face recognition
Pattern Recognition
Accurate face models from uncalibrated and Ill-Lit video sequences
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Single 2D Image-based 3D Face Reconstruction and Its Application in Pose Estimation
Fundamenta Informaticae - Fundamentals of Knowledge Technology
A novel deformation framework for face modeling from a few control points
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Rapid 3D face reconstruction by fusion of SFS and Local Morphable Model
Journal of Visual Communication and Image Representation
Single 2D Image-based 3D Face Reconstruction and Its Application in Pose Estimation
Fundamenta Informaticae - Fundamentals of Knowledge Technology
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A novel method, called dynamic component deforming model, is proposed to reconstruct the face shape from a 2D image based on feature points. Assuming that human face belongs to a linear class, principal components learned from a 3D face database are used in order to constrain the results. Different from the fixed components used in the traditional methods, the significance of each component is investigated while the most correlative ones are selected as the basic space. This novel representation is able to fit a more exact 3D shape for an individual than the known methods as the useless data are excluded. Comparison results show that the proposedmethod achieves good results on both contrived data with known ground truth together with real photographs.