L'objectiu principal del Grup de Visió Artificial i Sistemes Intel·ligents (VIS) és la recerca bàsica i aplicada al desenvolupament de sistemes intel·ligents capaços d'interactuar amb el món de manera autònoma i ubiqua. Aquests sistemes intel·ligents hauran de percebre, raonar, planificar, actuar i aprendre de l'experiència prèvia. El Grup treballa activament en temes com ara la segmentació i l'etiquetatge robust d'imatges en color, el reconeixement de formes, l'aprenentatge i reconeixement d'objectes invariant a les condicions d'il·luminació i del punt de vista, el seguiment d'objectes i persones, la biomètrica, el processament i l'anàlisi d'imatges mèdiques per a l'ajuda a la diagnosi, l'anàlisi de documents, la navegació de robots mòbils, l'autolocalització i la construcció de mapes concurrent, el control de sistemes de retroalimentació visual o la interacció persona-màquina. Els camps d'interès per a l'aplicació d'aquesta recerca són, entre altres, la indústria de l`automòbil i el transport, l'assistència

http://futur.upc.edu/VIS

The Artificial Vision and Intelligent Systems Group (VIS) carries out basic and applied research with the aim of understanding and designing intelligent systems that are capable of interacting with the real world in an autonomous and wide-reaching manner. Such intelligent systems must perceive, reason, plan, act and learn from previous experiences. The group works on the following topics: robust colour image segmentation and labelling, pattern recognition, viewpoint invariant object learning and recognition, object tracking, face tracking, biometrics, processing and analysis of medical images for diagnosis, document analysis, mobile robot navigation, simultaneous localisation and map building, visual servoing, and human-computer interaction. The possible areas of application of the VIS?s research include the automotive and transport industry, the biomedical imaging industry, the space industry, robotics applications, security, home and office automation, the entertainment industry, and future computing enviro

http://futur.upc.edu/VIS

Recent Submissions

  • Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks 

    Romero Merino, Enrique; Alquézar Mancho, René (2010-06)
    External research report
    Open Access
    Recently, error minimized extreme learning machines (EM-ELMs) have been proposed as a simple and efficient approach to build single-hidden-layer feed-forward networks (SLFNs) sequentially. They add random hidden nodes one ...
  • Data acquisition system for automotive testing according to the European Directive 2004/104/EC 

    Martínez García, Herminio; Gámiz Caro, Juan; Bolea Monte, Yolanda; Grau Saldes, Antoni (2016-03)
    Article
    Open Access
  • Modeling robot's world with minimal effort 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    We propose an efficient Human Robot Interaction approach to efficiently model the appearance of all relevant objects in robot’s environment. Given an input video stream recorded while the robot is navigating, the user just ...
  • Uncertainty analysis of the DLT-Lines calibration algorithm for cameras with radial distortion 

    Galego, Ricardo; Ortega, Agustin; Ferreira, Ricardo; Bernardino, Alexandre; Andrade-Cetto, Juan; Gaspar, José (2015)
    Article
    Restricted access - publisher's policy
    3D metric data of environmental structures is nowadays present in many information sources (maps, GIS) and can be easily acquired with modern depth sensing technology (RGBD, laser). This wealth of information can be readily ...
  • STEP, a new program for excellence in sustainability at the Technical University of Catalonia UPC 

    Grau Saldes, Antoni; Bolea Monte, Yolanda (2016-02)
    Article
    Open Access
  • Constant switching frequency control-based linear-assisted DC/DC regulator for photovoltaic solar-powered facilities 

    Martínez García, Herminio; Grau Saldes, Antoni (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    Hybrid DC-DC regulators or linear–assisted DC-DC regulators are structures that combine both a linear voltage regulator and a switching DC-DC converter. The main objective of this hybrid topology is to converge, in a single ...
  • Matchability prediction for full-search template matching algorithms 

    Peñate Sánchez, Adrián; Porzi, Lorenzo; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    While recent approaches have shown that it is possible to do template matching by exhaustively scanning the parameter space, the resulting algorithms are still quite demanding. In this paper we alleviate the computational ...
  • Dense segmentation-aware descriptors 

    Trulls Fortuny, Eduard; Kokkinos, Iasonas; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2016)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Dense descriptors are becoming increasingly popular in a host of tasks, such as dense image correspondence, bag-of-words image classification, and label transfer. However, the extraction of descriptors on generic image ...
  • Vision-based SLAM system for unmanned aerial vehicles 

    Munguía Alcalá, Rodrigo Francisco; Urzua, Sarquis; Bolea Monte, Yolanda; Grau Saldes, Antoni (2016-03)
    Article
    Open Access
    The present paper describes a vision-based simultaneous localization and mapping system to be applied to Unmanned Aerial Vehicles (UAVs). The main contribution of this work is to propose a novel estimator relying on an ...
  • 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 ...

View more