• Efficient automatic segmentation of tubular structures in images and volumes. 

    Romero Soriano, Adriana (Universitat Politècnica de Catalunya, 2012-01)
    Projecte Final de Màster Oficial
    Accés obert
    The segmentation of tubular structures is still an open eld of investigation, particularly in medical imaging, where the quality of the image is poor with respect to natural images. Despite the quality of state-of-the-art ...
  • Ego-Object Discovery in Lifelogging Datasets 

    Bolaños Solà, Marc (Universitat Politècnica de Catalunya, 2015-02)
    Projecte Final de Màster Oficial
    Accés obert
    En aquest treball proposem un mètode semi-supervisat per el descobriment d'objectes rellevants en seqüències d'imatges adquirides amb càmeres passives portàtils. Addicionalment, presentem un nou dataset d'imatges anotades ...
  • First-person activity recognition: how to generalize to unseen users? 

    Mollova, Emanuela (Universitat Politècnica de Catalunya, 2017)
    Projecte Final de Màster Oficial
    Accés obert
    Recent advances in wearable technology, accompanied by the decreasing cost of data storage and increase of data availability have made possible to take pictures everywhere at every time. Wearable cameras are nowadays ...
  • Food related scene recognition in egocentric images 

    Leyva Vallina, María (Universitat Politècnica de Catalunya, 2017)
    Projecte Final de Màster Oficial
    Accés obert
    Lifelogging is a raising field nowadays with the normalization of many devices that collect data from our daily routines. Egocentric cameras are particularly interesting devices that allow us to capture very rich ...
  • Improving object detection by exploiting semantic relations between objects 

    Petrov, Yordan (Universitat Politècnica de Catalunya, 2017-05)
    Projecte Final de Màster Oficial
    Accés obert
    Object detection is a fundamental and challenging problem in computer vision. Detecting the objects visible in an image can give us a good understanding and description of the image. The extracted information can later ...
  • Robust and accurate diaphragm border detection in cardiac x-ray angiographies 

    Petkov, Simeon (Universitat Politècnica de Catalunya, 2012-06)
    Projecte Final de Màster Oficial
    Accés obert
    X-ray angiography is the most common imaging modality employed in the diagnosis of coronary diseases prior or during a catheter-based intervention. The analysis of the patient X-Ray sequence can provide useful ...