Ara es mostren els items 19-23 de 23

  • Semantic segmentation priors for object discovery 

    Martín García, Germán; Husain, Syed Farzad; Schulz, Hannes; Frintrop, Simone; Torras, Carme; Behnke, Sven (IEEE Press, 2016)
    Text en actes de congrés
    Accés obert
    Reliable object discovery in realistic indoor scenes is a necessity for many computer vision and service robot applications. In these scenes, semantic segmentation methods have made huge advances in recent years. Such ...
  • Shared random Ferns for efficient detection of multiple categories 

    Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (2010)
    Text en actes de congrés
    Accés obert
    We propose a new algorithm for detecting multiple object categories that exploits the fact that different categories may share common features but with different geometric distributions. This yields an efficient detector ...
  • Tracking of microtubules in anisotropic volumes of neural tissue 

    Buhmann, JULIA M.; Gerhard, Stephan; Cook, Matthew; Funke, Jan (2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    For both the automatic and manual reconstruction of neural circuits from electron microscopy (EM) images, the detection and identification of intracellular structures provide useful cues. This is particularly true for ...
  • Very fast solution to the PnP problem with algebraic outlier rejection 

    Ferraz Colomina, Luis; Binefa, Xavier; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Text en actes de congrés
    Accés obert
    We propose a real-time, robust to outliers and accurate solution to the Perspective-n-Point (PnP) problem. The main advantages of our solution are twofold: first, it integrates the outlier rejection within the pose estimation ...
  • WordFences: Text localization and recognition 

    Polzounov, Andrei (Universitat Politècnica de Catalunya, 2017-01)
    Projecte Final de Màster Oficial
    Accés obert
    Realitzat a/amb:  Institute for Infocomm Research
    In recent years, text recognition has achieved remarkable success in recognizing scanned document text. However, word recognition in natural images is still an open problem, which generally requires time consuming ...