Browsing by Author "Sanromà Güell, Gerard"

Now showing items 1-8 of 8

    • A discrete labelling approach to attributed graph matching using SIFT features 

      Sanromà Güell, Gerard; Alquézar Mancho, René; Serratosa Casanelles, Francesc (2010)
      Conference report
      Open Access
      Local invariant feature extraction methods are widely used for image-features matching. There exist a number of approaches aimed at the refinement of the matches between image-features. It is a common strategy among these ...

    • A new algorithm to compute the distance between multi-dimensional histograms 

      Serratosa Casanelles, Francesc; Sanromà Güell, Gerard; Sanfeliu Cortés, Alberto (Springer Verlag, 2007)
      Part of book or chapter of book
      Open Access
      The aim of this paper is to present a new algorithm to compute the distance between ndimensional histograms. There are some domains such as pattern recognition or image retrieval that use the distance between histograms ...

    • A new graph matching method for point-set correspondence using the EM algorithm and Softassign 

      Sanromà Güell, Gerard; Alquézar Mancho, René; Serratosa Casanelles, Francesc (2012)
      Article
      Restricted access - publisher's policy
      Finding correspondences between two point-sets is a common step in many vision applications (e.g., image matching or shape retrieval). We present a graph matching method to solve the point-set correspondence problem, which ...

    • Attributed graph matching for image-features association using SIFT descriptors 

      Sanromà Güell, Gerard; Alquézar Mancho, René; Serratosa Casanelles, Francesc (Springer, 2010)
      Conference report
      Open Access
      Image-features matching based on SIFT descriptors is subject to the misplacement of certain matches due to the local nature of the SIFT representations. Some well-known outlier rejectors aim to remove those misplaced matches ...

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

      Sanromà Güell, Gerard; Alquézar Mancho, René; Serratosa Casanelles, Francesc (2010)
      Conference report
      Open Access
      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)
      Conference report
      Restricted access - publisher's policy
      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
      Open Access
      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)
      Conference report
      Open Access
      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 ...