Now showing items 1-5 of 5

  • Efficient algorithms for boundary extraction of 2D and 3D orthogonal pseudomanifolds 

    Vigo Anglada, Marc; Pla García, Núria; Ayala Vallespí, M. Dolors; Martínez Bayona, Jonás (2012)
    Article
    Restricted access - publisher's policy
    In this paper we present algorithms to extract the boundary representation of orthogonal polygons and polyhedra, either manifold or pseudomanifold. The algorithms we develop reconstruct not only the polygons of the boundaries ...
  • Locally-adaptive texture compression 

    Andújar Gran, Carlos Antonio; Martínez Bayona, Jonás (2009)
    Conference report
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    Current schemes for texture compression fail to exploit spatial coherence in an adaptive manner due to the strict efficiency constraints imposed by GPU-based, fragment-level decompression. In this paper we present a texture ...
  • Skeletal representations of orthogonal shapes 

    Martínez Bayona, Jonás; Pla García, Núria; Vigo Anglada, Marc (2013-07-01)
    Article
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    Orthogonal shapes are polygons orpolyhedra enclosed byaxis-aligned edges orfaces, respectively. Inthis paper wepresent two skeletal representatio nsoforthogonal shapes: the cube skeleton and a family ofskeletal represe ...
  • Skeleton computation of an image using a geometric approach 

    Martínez Bayona, Jonás; Vigo Anglada, Marc; Pla García, Núria; Ayala Vallespí, M. Dolors (2010)
    Conference lecture
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    In this work we develop two algorithms to compute the skeleton of a binary 2D image. Both algorithms follow a geometric approach and work directly with the boundary of the image which is an orthogonal polygon (OP). One ...
  • Skeleton computation of orthogonal polyhedra 

    Martínez Bayona, Jonás; Vigo Anglada, Marc; Pla García, Núria (North Holland, 2011-08)
    Article
    Restricted access - publisher's policy
    Skeletons are powerful geometric abstractions that provide useful representations for a number of geometric operations. The straight skeleton has a lower combinatorial complexity compared with the medial axis. Moreover, while ...