Enviaments recents

  • Real-time 3D reconstruction of non-rigid shapes with a single moving camera 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Calvo, Begoña; Martinez Montiel, José Maria (2016)
    Article
    Accés obert
    This paper describes a real-time sequential method to simultaneously recover the camera motion and the 3D shape of deformable objects from a calibrated monocular video. For this purpose, we consider the Navier-Cauchy ...
  • A bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images 

    Moreno-Noguer, Francesc; Porta Pleite, Josep Maria (2016)
    Article
    Accés obert
    In this paper we bring the tools of the Simultaneous Localization and Map Building (SLAM) problem from a rigid to a deformable domain and use them to simultaneously recover the 3D shape of non-rigid surfaces and the sequence ...
  • A 3D descriptor to detect task-oriented grasping points in clothing 

    Ramisa Ayats, Arnau; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Torras, Carme (2016)
    Article
    Accés obert
    Manipulating textile objects with a robot is a challenging task, especially because the garment perception is difficult due to the endless configurations it can adopt, coupled with a large variety of colors and designs. ...
  • Action recognition based on efficient deep feature learning in the spatio-temporal domain 

    Husain, Syed Farzad; Dellen, Babette Karla Margarete; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Article
    Accés obert
    Hand-crafted feature functions are usually designed based on the domain knowledge of a presumably controlled environment and often fail to generalize, as the statistics of real-world data cannot always be modeled correctly. ...
  • Learning physical collaborative robot behaviors from human demonstrations 

    Rozo Castañeda, Leonel; Calinon, Sylvain; Caldwell, Darwin; Jimenez Schlegl, Pablo; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2016-04-01)
    Article
    Accés obert
    Robots are becoming safe and smart enough to work alongside people not only on manufacturing production lines, but also in spaces such as houses, museums, or hospitals. This can be significantly exploited in situations in ...
  • Interactive multiple object learning with scanty human supervision 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2016-08)
    Article
    Accés obert
    We present a fast and online human-robot interaction approach that progressively learns multiple object classifiers using scanty human supervision. Given an input video stream recorded during the human robot interaction, ...
  • Execution fault recovery in robot programming by demonstration using multiple models 

    Hoyos, Jose; Prieto, Flavio; Alenyà Ribas, Guillem; Torras, Carme (2016)
    Article
    Accés obert
    Deformable object (e.g., clothes) manipulation by a robot in interaction with a human being presents several interesting challenges. Due to texture and deformability, the object can get hooked in the human limbs. Moreover, ...
  • Combining semantic and geometric features for object class segmentation of indoor scenes 

    Husain, Syed Farzad; Schulz, Hannes; Dellen, Babette Karla Margarete; Torras, Carme; Behnke, Sven (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Article
    Accés obert
    Scene understanding is a necessary prerequisite for robots acting autonomously in complex environments. Low-cost RGB-D cameras such as Microsoft Kinect enabled new methods for analyzing indoor scenes and are now ubiquitously ...
  • Sequential non-rigid structure from motion using physical priors 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Calvo, Begoña; Martinez Montiel, José Maria (2016-05-01)
    Article
    Accés obert
    We propose a new approach to simultaneously recover camera pose and 3D shape of non-rigid and potentially extensible surfaces from a monocular image sequence. For this purpose, we make use of the Extended Kalman Filter ...
  • Incremental learning of skills in a task-parameterized Gaussian Mixture Model 

    Hoyos, Jose; Prieto, Flavio; Alenyà Ribas, Guillem; Torras, Carme (2016)
    Article
    Accés obert
    Programming by demonstration techniques facilitate the programming of robots. Some of them allow the generalization of tasks through parameters, although they require new training when trajectories different from the ones ...

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