Hierarchical Morphable Models

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Hierarchical Morphable Models
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 veri cation 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 nd good matches to novel face images and are also robust to partial occlusion.
Michael J. Jones, Tomaso Poggio
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 1998
Where CVPR
Authors Michael J. Jones, Tomaso Poggio
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