ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Appearance Models Revisited
International Journal of Computer Vision
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
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
On the Dimensionality of Face Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
A 3D Face Model for Pose and Illumination Invariant Face Recognition
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Real-time combined 2D+3D active appearance models
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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In this paper, we constrain faces to points on a manifold within the parameter space of a linear statistical model. The manifold is the subspace of faces which have maximally likely distinctiveness and different points correspond to unique identities. We show how the tools of differential geometry can be used to replace linear operations such as warping and averaging with operations on the surface of this manifold. We use the manifold to develop a new method for fitting a statistical face shape model to data, which is both robust (avoids overfitting) and overcomes model dominance (is not susceptible to local minima close to the mean face). Our method outperforms a generic non-linear optimiser when fitting a dense 3D morphable face model to data.