Active appearance models

20015,440 citationsJournal Article

Authors

Abstract

We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations in the model parameters and the induced image errors.

Topics & Keywords

Face recognition and analysis Human Pose and Action Recognition Image Retrieval and Classification Techniques

UN Sustainable Development Goals

Climate action

Publication Details

Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence

Volume 23, Issue 6, pp. 681-685

DOI: 10.1109/34.927467

Field-Weighted Citation Impact: 81.57