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    » Boundary Finding with Prior Shape and Smoothness Models
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    PAMI
    2000
    95views more  PAMI 2000»
    Boundary Finding with Prior Shape and Smoothness Models
    14 years 10 months ago
    Boundary Finding with Prior Shape and Smoothness Models
    Download  noodle.med.yale.edu
    Yongmei Wang, Lawrence H. Staib
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    SGP
    2007
    150views Computer Graphics» more  SGP 2007»
    Surface reconstruction using local shape priors
    15 years 21 days ago
    Surface reconstruction using local shape priors
    Download  www.cs.tau.ac.il
    We present an example-based surface reconstruction method for scanned point sets. Our approach uses a database of local shape priors built from a set of given context models that ...
    Ran Gal, Ariel Shamir, Tal Hassner, Mark Pauly, Da...
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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
    14 years 10 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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    ICCV
    2007
    IEEE
    153views Computer Vision» more  ICCV 2007»
    A Symmetry-Based Generative Model for Shape
    16 years 7 days ago
    A Symmetry-Based Generative Model for Shape
    Download  www.lems.brown.edu
    We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock g...
    Nhon H. Trinh, Benjamin B. Kimia
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    CVPR
    1998
    IEEE
    146views Computer Vision» more  CVPR 1998»
    Boundary Finding with Correspondence Using Statistical Shape Models
    16 years 10 days ago
    Boundary Finding with Correspondence Using Statistical Shape Models
    Download  noodle.med.yale.edu
    Yongmei Wang, Lawrence H. Staib
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