Active feature models Export

@proceedings{citeulike:1696987, 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. {\copyright} 2006 IEEE. Art. No.: 1698921}, address = {Department of Radiology, Medical University of Vienna, Austria}, author = {Langs, G. and Peloschek, P. and Donner, R. and Reiter, M. and Bischof, H.}, citeulike-article-id = {1696987}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICPR.2006.207}, citeulike-linkout-1 = {http://www.scopus.com/record/display.url?view=extended&origin=resultslist&eid=2-s2.0-34047200355}, doi = {10.1109/ICPR.2006.207}, journal = {Proc. Int. Conf. Pattern Recognit.}, keywords = {active-feature-models, asm, shape, texture}, pages = {417--420}, posted-at = {2007-09-26 12:27:23}, priority = {2}, series = {18th International Conference on Pattern Recognition, ICPR 2006}, title = {Active feature models}, url = {http://dx.doi.org/10.1109/ICPR.2006.207}, volume = {1} }

TY - CONF ID - citeulike:1696987 L3 - citeulike-article-id:1696987 N2 - 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. © 2006 IEEE. Art. No.: 1698921 JF - Proc. Int. Conf. Pattern Recognit. SE - 18th International Conference on Pattern Recognition, ICPR 2006 AD - Department of Radiology, Medical University of Vienna, Austria EP - 420 TI - Active feature models VL - 1 SP - 417 KW - active-feature-models KW - asm KW - shape KW - texture AU - Langs, G AU - Peloschek, P AU - Donner, R AU - Reiter, M AU - Bischof, H UR - http://dx.doi.org/10.1109/ICPR.2006.207 ER -