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    CVPR
    1999
    IEEE
    192views Computer Vision» more  CVPR 1999»
    Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
    14 years 9 months ago
    Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
    Download  www.iro.umontreal.ca
    We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
    Max Mignotte, Jean Meunier
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    ICCV
    2003
    IEEE
    202views Computer Vision» more  ICCV 2003»
    A Class of Photometric Invariants: Separating Material from Shape and Illumination
    14 years 9 months ago
    A Class of Photometric Invariants: Separating Material from Shape and Illumination
    Download  www.ri.cmu.edu
    We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
    Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
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    PAMI
    2010
    190views more  PAMI 2010»
    OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
    13 years 5 months ago
    OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
    Download  eprints.pascal-network.org
    —We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
    M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
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    ECCV
    2008
    Springer
    223views Computer Vision» more  ECCV 2008»
    Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
    14 years 9 months ago
    Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
    Download  www.cs.drexel.edu
    Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
    John Novatnack, Ko Nishino
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    ETVC
    2008
    251views Applied Computing» more  ETVC 2008»
    Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
    13 years 9 months ago
    Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
    Download  www-sop.inria.fr
    Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
    Xavier Pennec
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