DocumentCode :
456989
Title :
Active Feature Models
Author :
Langs, Georg ; Peloschek, Philipp ; Donner, René ; Reiter, Michael ; Bischof, Horst
Author_Institution :
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
417
Lastpage :
420
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
Keywords :
feature extraction; image representation; image texture; statistical analysis; active appearance models; active feature models; anatomical structures; image landmark localization; image texture representation; local descriptors; object texture; statistical shape model; texture features; Active appearance model; Biomedical imaging; Computer graphics; Image edge detection; Image processing; Image texture; Image texture analysis; Pattern recognition; Radiology; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.207
Filename :
1698921
Link To Document :
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