Paper

Using a neural net to instantiate a deformable model

Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated with fitting the models to data. We show that by using neural networks to provide better starting points, the search time can be significantly reduced. The method is demonstrated on a character recognition task.

Authors: Christopher K. I. Williams · Michael Revow · Geoffrey E. Hinton

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