Active Feature Models

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 comparison to AAMs on different data sets indicate that active feature models can improve search speed and result accuracy, considerably.

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Georg Langs, Philipp Peloschek, Rene Donner, Michael Reiter, Horst Bischof
• Keywords: Active Appearance Models, Active Feature Models, Computer Vision, ICPR 2006, Local Texture Features