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    » The representation and matching of categorical shape
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    CVIU
    2006
    105views more  CVIU 2006»
    The representation and matching of categorical shape
    13 years 8 months ago
    The representation and matching of categorical shape
    Download  www.cs.toronto.edu
    We present a framework for categorical shape recognition. The coarse shape of an object is captured by a multiscale blob decomposition, representing the compact and elongated part...
    Ali Shokoufandeh, Lars Bretzner, Diego Macrini, M....
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    CVPR
    2012
    IEEE
    248views Computer Vision» more  CVPR 2012»
    A codebook-free and annotation-free approach for fine-grained image categorization
    11 years 11 months ago
    A codebook-free and annotation-free approach for fine-grained image categorization
    Download  vision.stanford.edu
    Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
    Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
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    CVPR
    2006
    IEEE
    236views Computer Vision» more  CVPR 2006»
    Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
    14 years 10 months ago
    Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
    Download  vision.ucla.edu
    This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
    Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, L...
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    JOCN
    2007
    166views more  JOCN 2007»
    Neurophysiological Evidence for the Time Course of Activation of Global Shape, Part, and Local Contour Representations during Vi
    13 years 8 months ago
    Neurophysiological Evidence for the Time Course of Activation of Global Shape, Part, and Local Contour Representations during Vi
    Download  ase.tufts.edu
    Haline E. Schendan, Marta Kutas
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    CVPR
    2008
    IEEE
    233views Computer Vision» more  CVPR 2008»
    Loose shape model for discriminative learning of object categories
    13 years 10 months ago
    Loose shape model for discriminative learning of object categories
    Download  mplab.ucsd.edu
    We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
    Margarita Osadchy, Elran Morash
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