Now showing items 1-20 of 1207

    • 2D-to-3D facial expression transfer 

      Rotger Moll, Gemma; Lumbreras, Felipe; Moreno-Noguer, Francesc; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      Automatically changing the expression and physical features of a face from an input image is a topic that has been traditionally tackled in a 2D domain. In this paper, we bring this problem to 3D and propose a framework ...
    • 3D CNNs on distance matrices for human action recognition 

      Hernández Ruiz, Alejandro José; Porzi, Lorenzo; Rota Bulò, Samuel; Moreno-Noguer, Francesc (2017)
      Conference report
      Open Access
      In this paper we are interested in recognizing human actions from sequences of 3D skeleton data. For this purpose we combine a 3D Convolutional Neural Network with body representations based on Euclidean Distance Matrices ...
    • 3D human pose estimation from a single image via distance matrix regression 

      Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      This paper addresses the problem of 3D human pose estimation from a single image. We follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and then using these observations to infer ...
    • 3D human pose tracking priors using geodesic mixture models 

      Simó Serra, Edgar; Torras, Carme; Moreno-Noguer, Francesc (2017-04-01)
      Article
      Open Access
      We present a novel approach for learning a finite mixture model on a Riemannian manifold in which Euclidean metrics are not applicable and one needs to resort to geodesic distances consistent with the manifold geometry. ...
    • 3D Human pose, shape and texture from low-resolution images and videos 

      Xu, Xiangyu; Chen, Hao; Moreno-Noguer, Francesc; Jeni, Lázló; De La Torre, Fernando (2022)
      Article
      Open Access
      3D human pose and shape estimation from monocular images has been an active research area in computer vision. Existing deep learning methods for this task rely on high-resolution input, which however, is not always available ...
    • 3D human shape and pose from a single low-resolution image with self-supervised learning 

      Xu, Xiangyu; Chen, Hao; Moreno-Noguer, Francesc; Jeni, Lázló; De La Torre, Fernando (2020)
      Conference report
      Open Access
      3D human shape and pose estimation from monocular images has been an active area of research in computer vision, having a substantial impact on the development of new applications, from activity recognition to creating ...
    • 3D mapping for urban service robots 

      Valencia Carreño, Rafael; Teniente López, Ernest; Trulls Fortuny, Eduard; Andrade-Cetto, Juan (IEEE Press. Institute of Electrical and Electronics Engineers, 2009-10-11)
      Conference report
      Open Access
      We present an approach to the problem of 3D map building in urban settings for service robots, using threedimensional laser range scans as the main data input. Our system is based on the probabilistic alignment of 3D point ...
    • 3D modelling of leaves from color and ToF data for robotized plant measuring 

      Alenyà Ribas, Guillem; Dellen, Babette; Torras, Carme (2011)
      Conference report
      Restricted access - publisher's policy
      Supervision of long-lasting extensive botanic experiments is a promising robotic application that some recent technological advances have made feasible. Plant modelling for this application has strong demands, particularly ...
    • 3D object reconstruction from Swissranger sensor data using a spring-mass model 

      Dellen, Babette; Alenyà Ribas, Guillem; Foix Salmerón, Sergi; Torras, Carme (INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication, 2009)
      Part of book or chapter of book
      Restricted access - publisher's policy
      We register close-range depth images of objects using a Swissranger sensor and apply a spring-mass model for 3D object reconstruction. The Swissranger sensor delivers depth images in real time which have, compared with ...
    • 3D pose estimation using convolutional neural networks 

      Rubio Romano, Antonio (Universitat Politècnica de Catalunya, 2015-10)
      Master thesis
      Open Access
      The present Master Thesis describes a new Pose Estimation method based on Convolutional Neural Networks (CNN). This method divides the three-dimensional space in several regions and, given an input image, returns the ...
    • 3D reconstruction of deformable objects with volume 

      Irastorza Ugalde, Beñat (Universitat Politècnica de Catalunya, 2016-10)
      Master thesis
      Restricted access - confidentiality agreement
      Covenantee:   Consejo Superior de Investigaciones Científicas
    • 3d semantic representation of actions from effcient stereo-image-sequence segmentation on GPUs 

      Alexey, Abramov; Aksoy, Eren Erdal; Dörr, Johannes; Wörgötter, Florentin; Pauwels, Karl; Dellen, Babette (2010)
      Conference report
      Open Access
      A novel real-time framework for model-free stereo-video segmentation and stereo-segment tracking is presented, combining real-time optical flow and stereo with image segmentation running separately on two GPUs. The ...
    • 3D sensor planning framework for leaf probing 

      Foix Salmerón, Sergi; Alenyà Ribas, Guillem; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Conference report
      Open Access
      Modern plant phenotyping requires active sensing technologies and particular exploration strategies. This article proposes a new method for actively exploring a 3D region of space with the aim of localizing special areas ...
    • 3D vehicle detection on an FPGA from LiDAR point clouds 

      García López, Javier; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      In this paper is presented a deep neural network architecture designed to run on a field-programmable gate array (FPGA) for detection vehicle on LIDAR point clouds. This works present a network based on VoxelNet adapted ...
    • 3DPeople: modeling the geometry of dressed humans 

      Pumarola Peris, Albert; Sánchez Riera, Jordi; Choi, Gary; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (2019)
      Conference report
      Open Access
      Recent advances in 3D human shape estimation build upon parametric representations that model very well the shape of the naked body, but are not appropriate to represent the clothing geometry. In this paper, we present an ...
    • 3M-Transformer: a multi-stage multi-stream multimodal transformer for embodied turn-taking prediction 

      Fatan, Mehdi; Mincato, Emanuele; Pintzou, Dimitra; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2024)
      Conference report
      Open Access
      Predicting turn-taking in multiparty conversations has many practical applications in human-computer/robot interaction. However, the complexity of human communication makes it a challenging task. Recent advances have shown ...
    • 4DPV: 4D pet from videos by coarse-to-fine non-rigid radiance fields 

      Montoya De Paco, Sergio; Agudo Martínez, Antonio (Springer, 2024-12-08)
      Part of book or chapter of book / Conference report
      Open Access
      We present a coarse-to-fine neural deformation model to simultaneously recover the camera pose and the 4D reconstruction of an unknown object from multiple RGB sequences in the wild. To that end, our approach does not ...
    • A 3D descriptor to detect task-oriented grasping points in clothing 

      Ramisa Ayats, Arnau; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Torras, Carme (2016)
      Article
      Open Access
      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. ...
    • A 3D System for training in endoscopical repair of subcondylar fractures of the mandible 

      Hueto, Joan A.; Díaz, José; Monclús Lahoya, Eva; Navazo Álvaro, Isabel; Vázquez Alcocer, Pere Pau; Raspall, G. (Springer Verlag, 2008)
      Article
      Open Access
      Poster Session: 12th Annual Conference of Iscas. Conventional treatment of the subcondylar fractures of the mandible is challenging because of the medial and anterior displacement of the condylar fragment and the limited ...
    • A bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images 

      Moreno-Noguer, Francesc; Porta Pleite, Josep Maria (2016)
      Article
      Open Access
      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 ...