Ara es mostren els items 3-15 de 15

    • Evaluation of three vision based object perception methods for a mobile robot 

      Ramisa Ayats, Arnau; Aldavert Miró, David; Vasudeban, Shrihari; Toledo Morales, Ricardo; López de Mantaras, Ramon (2012)
      Article
      Accés obert
      This paper addresses visual object perception applied to mobile robotics. Being able to perceive household objects in unstructured environments is a key capability in order to make robots suitable to perform complex tasks ...
    • GPU-based low-level image processing for object recognition using HDR images 

      Dominguez Tejera, Jonatan (Universitat Politècnica de Catalunya / Karlsruher Institut für Technology, 2012-06-15)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   Karlsruher Institut für Technologie
      [ANGLÈS] The algorithm developed for object recognition using HDR images is divided in 3 modules. The first one obtain images without noise from the scene using a fusion method, which one is based on the pdf of each pixel ...
    • Multimodal feedback fusion of laser, image and temporal information 

      Huerta Casado, Iván; Ferrer Mínguez, Gonzalo; Herrero Cotarelo, Fernando; Prati, Andrea; Sanfeliu Cortés, Alberto (Association for Computing Machinery (ACM), 2014)
      Text en actes de congrés
      Accés obert
      In the present paper, we propose a highly accurate and robust people detector, which works well under highly variant and uncertain conditions, such as occlusions, false positives and false detections. These adverse conditions, ...
    • Multimodal object recognition using random clustering trees 

      Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2015)
      Text en actes de congrés
      Accés obert
      In this paper, we present an object recognition approach that in addition allows to discover intra-class mo dalities exhibiting high-correlated visual information. Unlike to more conventional approaches based on computing ...
    • Object detection and recognition: from saliency prediction to one-shot trained detectors 

      Recasens Continente, Adrià (Universitat Politècnica de Catalunya, 2014-09-03)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   Massachusetts Institute of Technology
      [ANGLÈS] Computer vision capabilities have started to become available in smart devices this last years. The rapid growth of the smartphone world along with the big advance of the computer vision field in the last years ...
    • Object recognition applied to mobile robotics 

      Rigual Aparici, Ferran (Universitat Politècnica de Catalunya, 2012-09-19)
      Projecte/Treball Final de Carrera
      Accés obert
      Investigació de les possibilitats dels mètodes actuals de detecció i reconeixement d'objectes. Adaptació del millor mètode seleccionat (MOPED) per tal de solucionar els problemes de la competició de robots domèstics "Robocup ...
    • Objects recognition from their volumetric data for an autonomous kitchen 

      Solà Gallego, Lara (Universitat Politècnica de Catalunya, 2016-06-27)
      Treball Final de Grau
      Accés obert
      El presente trabajo se centra en resolver el problema relacionado con el reconocimiento de objetos en un entorno de cocina, describiendo cada objeto a partir de su color y volumetría.
    • Online human-assisted learning using random ferns 

      Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2012)
      Text en actes de congrés
      Accés obert
      We present an Online Random Ferns (ORFs) classifier that progressively learns and builds enhanced models of object appearances. During the learning process, we allow the human intervention to assist the classifier and ...
    • Optimization of robust loss functions for weakly-labeled image taxonomies 

      McAuley, Julian J.; Ramisa Ayats, Arnau; Caetano, Tibério S. (2013)
      Article
      Accés restringit per política de l'editorial
      The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. These annotations may be imperfect, in the sense that many images contain multiple objects belonging ...
    • Precision and power grip detection in egocentric hand-object Interaction using machine learning 

      Huapaya Sierra, Rodrigo Arian (Universitat Politècnica de Catalunya, 2023-06-26)
      Projecte Final de Màster Oficial
      Accés obert
      This project, was carried out in Yverdon-les-Bains, Switzerland, between the University of Applied Sciences and Arts Western Switzerland (HEIG-VD / HES-SO) and the Centre Hospitalier Universitaire Vaudois (CHUV) in Lausanne, ...
    • Scene understanding using deep learning 

      Husain, Syed Farzad; Dellen, Babette; Torras, Carme (Elsevier, 2017)
      Capítol de llibre
      Accés obert
      Automation based on artificial intelligence becomes necessary when agents such as robots are deployed to perform complex tasks. Detailed representation of a scene makes robots better aware of their surroundings, thereby ...
    • 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 ...
    • Understanding the impact of on-chip communication on DNN accelerator performance 

      Guirado, Robert; Kwon, Hyoukjun; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi; Krishna, Tushar (2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Deep Neural Networks have flourished at an unprecedented pace in recent years. They have achieved outstanding accuracy in fields such as computer vision, natural language processing, medicine or economics. Specifically, ...