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    ECCV
    2002
    Springer
    156views Computer Vision» more  ECCV 2002»
    Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
    14 years 6 months ago
    Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
    Download  www-cvpr.iai.uni-bonn.de
    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 silho...
    Christoph Schnörr, Daniel Cremers, Timo Kohlb...
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    IJCV
    2002
    232views more  IJCV 2002»
    Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
    13 years 4 months ago
    Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
    Download  wwwcremers.in.tum.de
    We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By...
    Daniel Cremers, Florian Tischhäuser, Joachim ...
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    SIAMSC
    2008
    237views more  SIAMSC 2008»
    A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
    13 years 4 months ago
    A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
    Download  www.fiq.unl.edu.ar
    We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
    Günay Dogan, Pedro Morin, Ricardo H. Nochetto
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    JMIV
    2007
    111views more  JMIV 2007»
    Mumford-Shah on the Move: Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and A
    13 years 4 months ago
    Mumford-Shah on the Move: Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and A
    Download  vision.ucla.edu
    Hailin Jin, Anthony J. Yezzi, Stefano Soatto
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    IJCV
    2006
    262views more  IJCV 2006»
    A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
    13 years 4 months ago
    A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
    Download  infoscience.epfl.ch
    In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
    Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
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