A bootstrapping algorithm for learning linear models of object classes

Abstract

Flexible models of object classes, based on linear combinations of prototypical images, are capable of matching novel images of the same class and have been shown to be a powerful tool to solve several fundamental vision tasks such as recognition, synthesis and correspondence. The key problem in creating a speciic exible model is the computation of… (More)
DOI: 10.1109/CVPR.1997.609295

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@inproceedings{Vetter1997ABA, title={A bootstrapping algorithm for learning linear models of object classes}, author={Thomas Vetter and Michael J. Jones and Tomaso A. Poggio}, booktitle={CVPR}, year={1997} }