Recent Submissions

  • Data-driven synthesis of composite-feature detectors for 3D image analysis 

    Dosil, Raquel; Pardo, Xosé M.; Fernández Vidal, Xosé Ramón (Elsevier, 2006-03-01)
    Most image analysis techniques are based upon low level descriptions of the data. It is important that the chosen representation is able to discriminate as much as possible among independent image features. In particular, ...
  • Motion representation using composite energy features 

    Dosil, Raquel; Fernández Vidal, Xosé Ramón; Pardo, Xosé M. (Elsevier, 2008-03)
    This work tackles the segmentation of apparent-motion from a bottom-up perspective. When no information is available to build prior high-level models, the only alternative are bottom-up techniques. Hence, the whole ...
  • Decomposition of 3D Medical Images into Visual Patterns 

    Dosil, Raquel; Pardo, Xosé M.; Fernández Vidal, Xosé Ramón (IEEE, 2005-11-21)
    In this paper, we present a method for the decomposition of a volumetric image into its most relevant visual patterns , which we define as features associated to local energy maxima of the image. The method involves the ...
  • Distances between frequency features for 3D visual pattern partitioning 

    Dosil, Raquel; Fernández Vidal, Xosé Ramón; Pardo, Xosé M. (Elsevier, 2006-07-15)
    In this paper we propose a technique for the decomposition of a 3D image into a set of low level patterns associated to phase congruency, which we call visual patterns. Those patterns have frequency components in a wide ...
  • Generalized ellipsoids and anisotropic filtering for segmentation improvement in 3D medical imaging 

    Dosil, Raquel; Pardo, Xosé M. (Elsevier, 2003-04-01)
    Deformable models have demonstrated to be very useful techniques for image segmentation. However, they present several weak points. Two of the main problems with deformable models are the following: (1) results are often ...

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