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Object recognition with deformable feature graphs

Main information
A fundamental question in invariant object recognition is that of representation. This chapter reviews object representation based on deformable graphs that describe particular views of an object as a spatial constallation of image features. These representations are particular useful in situations of high clutter and partial occlusions. We demonstrate the benfits of these representations in three recognition applications: face analysis, hand gesture recognition and the interpretation of cluttered scenes composed of mutible partly occluded objects. We conclude by discussing current trends and open challenges. 
WP5: Detection, Extraction and Annotation of Knowledge. 
IAIS  Christian Eckes, Jochen Triesch 
2007-03-15 17:40  Request for more detail


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Condition of use defined in response to "need to access request". 
Copyright Fraunhofer Institut Intelligente Analyse- und Informationssysteme. 
 
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