Active Feature Models

Authors:
Georg Langs;Philipp Peloschek;Rene Donner;Michael Reiter;Horst Bischof
Affiliations:
Graz University of Technology, Austria;Medical University of Vienna, Austria;Graz University of Technology, Austria;Vienna University of Technology, Austria;Graz University of Technology, Austria
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Year:
2006

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Abstract

In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are related to active appearance models, but instead of modelling the entire texture of an object they represent image texture by means of local descriptors. The approach has advantages with complex image data like anatomical structures that exhibit high texture variation with limited relevance for the recognition of the object location. Experimental results and the comparison to AAMs on different data sets indicate that active feature models can improve search speed and result accuracy, considerably.