Exploració per autor "Agudo Martínez, Antonio"
Ara es mostren els items 21-40 de 46
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Morphological symmetries in robot learning
Ordoñez Apraez, Daniel Felipe; Martín Muñoz, Mario; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (OpenReview.net, 2023)
Text en actes de congrés
Accés obertThis work studies the impact of morphological symmetries in learning applications in robotics. Morphological symmetries are a predominant feature in both biological and robotic systems, arising from the presence of planes/axis ... -
Neural dense non-rigid structure from motion with latent space constraints
Sidhu, Vikramjit; Tretschk, Edgar; Golyanik, Vladislav; Agudo Martínez, Antonio; Theobalt, Christian (2020)
Text en actes de congrés
Accés obertWe introduce the first dense neural non-rigid structure from motion (N-NRSfM) approach, which can be trained end-to-end in an unsupervised manner from 2D point tracks. Compared to the competing methods, our combination of ... -
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
Ordoñez Apraez, Daniel Felipe; Martín Muñoz, Mario; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (RSS Foundation, 2023)
Text en actes de congrés
Accés restringit per política de l'editorialWe present a comprehensive study on discrete morphological symmetries of dynamical systems, which are commonly observed in biological and artificial locomoting systems, such as legged, swimming, and flying animals/robots/virtual ... -
Piecewise Bézier space: recovering 3D dynamic motion from video
Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertIn this paper we address the problem of jointly retrieving a 3D dynamic shape, camera motion, and deformation grouping from partial 2D point trajectories in a monocular video. To this end, we introduce a union of piecewise ... -
PL-SLAM: real-time monocular visual SLAM with points and lines
Pumarola Peris, Albert; Vakhitov, A.; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (IEEE Press, 2017)
Text en actes de congrés
Accés obertLow textured scenes are well known to be one of the main Achilles heels of geometric computer vision algorithms relying on point correspondences, and in particular for visual SLAM. Yet, there are many environments in which, ... -
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 obertThis 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 ... -
Recognizing object surface material from impact sounds for robot manipulation
Dimiccoli, Mariella; Patni, Shubhan; Hoffmann, Matej; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertWe investigated the use of impact sounds generated during exploratory behaviors in a robotic manipulation setup as cues for predicting object surface material and for recognizing individual objects. We collected and make ... -
Recovering pose and 3D deformable shape from multi-instance image ensembles
Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Springer, 2017)
Text en actes de congrés
Accés obertIn recent years, there has been a growing interest on tackling the Non-Rigid Structure from Motion problem (NRSfM), where the shape of a deformable object and the pose of a moving camera are simultaneously estimated from ... -
Relative localization for aerial manipulation with PL-SLAM
Pumarola Peris, Albert; Vakhitov, A.; Agudo Martínez, Antonio; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (Springer, 2019)
Capítol de llibre
Accés obertThis chapter explains a precise SLAM technique, PL-SLAM, that allows to simultaneously process points and lines and tackle situations where point-only based methods are prone to fail, like poorly textured scenes or motion ... -
Robust spatio-temporal clustering and reconstruction of multiple deformable bodies
Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2019-04-01)
Article
Accés obertIn this paper we present an approach to reconstruct the 3D shape of multiple deforming objects from a collection of sparse, noisy and possibly incomplete 2D point tracks acquired by a single monocular camera. Additionally, ... -
Robust wind turbine blade segmentation from RGB images in the wild
Pérez i Gonzalo, Raül; Espersen, Andreas; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertWith the relentless growth of the wind industry, there is an imperious need to design automatic data-driven solutions for wind turbine maintenance. As structural health monitoring mainly relies on visual inspections, the ... -
Safari from visual signals: recovering volumetric 3d shapes
Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertIn this paper we propose a convex approach for recovering a detailed 3D volumetric geometry of several objects from visual signals. To this end, we first present a minimal detailed surface energy that is optimized together ... -
Segmentation and 3D Reconstruction of NON-RIGID Shape from RGB Video
Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés obertIn this paper we propose a unsupervised and unified approach to simultaneously recover time-varying 3D shape, camera motion, and temporal clustering into deformations, all of them, from partial 2D point tracks in a RGB ... -
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 obertWe 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 ... -
Shape basis interpretation for monocular deformable 3D reconstruction
Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2019)
Article
Accés obertIn this paper, we propose a novel interpretable shape model to encode object non-rigidity. We first use the initial frames of a monocular video to recover a rest shape, used later to compute a dissimilarity measure based ... -
Simultaneous completion and spatiotemporal grouping of corrupted motion tracks
Agudo Martínez, Antonio; Lepetit, Vincent; Moreno-Noguer, Francesc (Springer Nature, 2021-07-19)
Article
Accés obertGiven an unordered list of 2D or 3D point trajectories corrupted by noise and partial observations, in this paper we introduce a framework to simultaneously recover the incomplete motion tracks and group the points into ... -
Simultaneous pose and non-rigid shape with particle dynamics
Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2015)
Text en actes de congrés
Accés obertIn this paper, we propose a sequential solution to simultaneously estimate camera pose and non-rigid 3D shape from a monocular video. In contrast to most existing approaches that rely on global representations of the shape, ... -
Single view facial hair 3D reconstruction
Rotger Moll, Gemma; Moreno-Noguer, Francesc; Lumbreras, Felipe; Agudo Martínez, Antonio (Springer, 2019)
Text en actes de congrés
Accés obertIn this work, we introduce a novel energy-based framework that addresses the challenging problem of 3D reconstruction of facial hair from a single RGB image. To this end, we identify hair pixels over the image via texture ... -
Spline human motion recovery
Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertSimultaneous camera pose, 4D reconstruction of an object and deformation clustering from incomplete 2D point tracks in a video is a challenging problem. To solve it, in this work we introduce a union of piecewise subspaces ... -
Stochastic neural radiance fields: quantifying uncertainty in implicit 3D representations
Shen, Jianxiong; Ruiz Ovejero, Adrià; Agudo Martínez, Antonio; Moreno-Noguer, Francesc (2021)
Text en actes de congrés
Accés obertNeural Radiance Fields (NeRF) has become a popular framework for learning implicit 3D representations and addressing different tasks such as novel-view synthesis or depth-map estimation. However, in downstream applications ...