%0 Book Section %1 noKey %A Cremers, Daniel %A Kohlberger, Timo %A Schnörr, Christoph %B Computer Vision — ECCV 2002 %D 2002 %E Heyden, Anders %E Sparr, Gunnar %E Nielsen, Mads %E Johansen, Peter %I Springer Berlin Heidelberg %K segmentation variational %P 93-108 %R 10.1007/3-540-47967-8_7 %T Nonlinear Shape Statistics in Mumford—Shah Based Segmentation %U http://dx.doi.org/10.1007/3-540-47967-8_7 %V 2351 %X We present a variational integration of nonlinear shape statistics into a Mumford—Shah based segmentation process. The nonlinear statistics are derived from a set of training silhouettes by a novel method of density estimation which can be considered as an extension of kernel PCA to a stochastic framework. %@ 978-3-540-43744-4

@incollection{noKey, abstract = {We present a variational integration of nonlinear shape statistics into a Mumford—Shah based segmentation process. The nonlinear statistics are derived from a set of training silhouettes by a novel method of density estimation which can be considered as an extension of kernel PCA to a stochastic framework.}, added-at = {2014-08-25T15:50:25.000+0200}, author = {Cremers, Daniel and Kohlberger, Timo and Schnörr, Christoph}, biburl = {https://www.bibsonomy.org/bibtex/2ced2008c3f1cff7baeeaeea889103204/alex_ruff}, booktitle = {Computer Vision — ECCV 2002}, description = {Nonlinear Shape Statistics in Mumford—Shah Based Segmentation - Springer}, doi = {10.1007/3-540-47967-8_7}, editor = {Heyden, Anders and Sparr, Gunnar and Nielsen, Mads and Johansen, Peter}, interhash = {ba06f55fb09077b04b35a60db103e1b7}, intrahash = {ced2008c3f1cff7baeeaeea889103204}, isbn = {978-3-540-43744-4}, keywords = {segmentation variational}, language = {English}, pages = {93-108}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2014-08-25T15:54:23.000+0200}, title = {Nonlinear Shape Statistics in Mumford—Shah Based Segmentation}, url = {http://dx.doi.org/10.1007/3-540-47967-8_7}, volume = 2351, year = 2002 }