Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes
International Journal of Computer Vision
Digital Image Warping
Generalized Image Matching: Statistical Learning of Physically-Based Deformations
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
A bootstrapping algorithm for learning linear models of object classes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Gaze Estimation Using Morphable Models
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
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ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Alignment by Maximization of Mutual Information
Alignment by Maximization of Mutual Information
Multidimensional Morphable Models
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Modeling and Animating Realistic Faces from Images
International Journal of Computer Vision
Face Reconstruction from Partial Information Based on a Morphable Face Model
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
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Image and Vision Computing
Navigating in a Shape Space of Registered Models
IEEE Transactions on Visualization and Computer Graphics
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This paper presents a new technique for modelling object classes (such as faces) and matching the model to novel images from the object class. The technique can be used for a variety of image analysis applications including face recognition, object verification and facial expression analysis. The model, called a hierarchical morphable model, is "learned" from example images (partioned into components) and their correspondences. This is an extension to the work on morphable models described in previous papers ([6), [5], [12]). Hierarchical morphable models are shown to find good matches to novel face images and are also robust to partial occlusion.