Synthesis of Novel Views from a Single Face Image
International Journal of Computer Vision
Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes
International Journal of Computer Vision
When is it Possible to Identify 3D Objects From Single Images Using Class Constraints?
International Journal of Computer Vision
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Synthesis of a face image at a desired pose from a given pose
Pattern Recognition Letters
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We describe a technique for finding pixelwise correspondences between two images by using models of objects of the same class to guide the search. The object models are "learned" from example images (also called prototypes) of an object class. The models consist of a linear combination of prototypes. The flow fields giving pixelwise correspondences between a base prototype and each of the other prototypes must be given. A novel image of an object of the same class is matched to a model by minimizing an error between the novel image and the current guess for the closest model image. Currently, the algorithm applies to line drawings of objects. An extension to real grey level images is discussed.