caa a22 4500 467914796 CHVBK 20180406152859.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s11263-005-3676-z doi (NATIONALLICENCE)springer-10.1007/s11263-005-3676-z A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation [Elektronische Daten] [Daniel Cremers, Nir Sochen, Christoph Schnörr] We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional with respect to both a level set function and a (vector-valued) labeling function, we jointly generate a segmentation (by the level set function) and a recognition-driven partition of the image domain (by the labeling function) which indicates where to enforce certain shape priors. Our framework fundamentally extends previous work on shape priors in level set segmentation by directly addressing the central question of where to apply which prior. It allows for the seamless integration of numerous shape priors such that—while segmenting both multiple known and unknown objects—the level set process may selectively use specific shape knowledge for simultaneously enhancing segmentation and recognizing shape. Springer Science + Business Media, Inc, 2006 image segmentation nationallicence shape priors nationallicence variational methods nationallicence level set methods nationallicence dynamic labeling nationallicence recognition modeling nationallicence Cremers Daniel Department of Computer Science, University of Bonn, Germany aut Sochen Nir Department of Applied Mathematics, Tel Aviv University, Israel aut Schnörr Christoph Department of Mathematics and Computer Science, University of Mannheim, Germany aut International Journal of Computer Vision Kluwer Academic Publishers 66/1(2006-01-01), 67-81 0920-5691 66:1<67 2006 66 11263 https://doi.org/10.1007/s11263-005-3676-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-005-3676-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cremers Daniel Department of Computer Science, University of Bonn, Germany aut NATIONALLICENCE 700 1- Sochen Nir Department of Applied Mathematics, Tel Aviv University, Israel aut NATIONALLICENCE 700 1- Schnörr Christoph Department of Mathematics and Computer Science, University of Mannheim, Germany aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 66/1(2006-01-01), 67-81 0920-5691 66:1<67 2006 66 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer