• Graph matching using SIFT descriptors: an application to pose recovery of a mobile robot 

      Sanromà Güell, Gerard; Alquézar Mancho, René; Serratosa Casanelles, Francesc (2010)
      Text en actes de congrés
      Accés obert
      Image-feature matching based on Local Invariant Feature Extraction (LIFE) methods has proven to be successful, and SIFT is one of the most effective. SIFT matching uses only local texture information to compute the ...
    • Group-wise sparse correspondences between images based on a common labelling approach 

      Solé Ribalta, Albert; Sanromà Güell, Gerard; Serratosa Casanelles, Francesc; Alquézar Mancho, René (SciTePress, 2012)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Finding sparse correspondences between two images is a usual process needed for several higher-level computer vision tasks. For instance, in robot positioning, it is frequent to make use of images that the robot captures ...
    • MSClique: Multiple structure discovery through the maximum weighted clique problem 

      Sanromà Güell, Gerard; Peñate Sánchez, Adrián; Alquézar Mancho, René; Serratosa Casanelles, Francesc; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; González Ballester, Miguel Ángel (2016-01-01)
      Article
      Accés obert
      We present a novel approach for feature correspondence and multiple structure discovery in computer vision. In contrast to existing methods, we exploit the fact that point-sets on the same structure usually lie close to ...
    • Smooth simultaneous structural graph matching and point-set registration 

      Sanromà Güell, Gerard; Alquézar Mancho, René; Serratosa Casanelles, Francesc (Springer, 2011)
      Text en actes de congrés
      Accés obert
      We present a graph matching method that encompasses both a model of structural consistency and a model of geometrical deformations. Our method poses the graph matching problem as one of mixture modelling which is solved ...