Exploració per autor "Moreno-Noguer, Francesc"
Ara es mostren els items 1-20 de 157
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2D-to-3D facial expression transfer
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés obertAutomatically 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
(2017)
Text en actes de congrés
Accés obertIn 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
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertThis 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
(2017-04-01)
Article
Accés obertWe 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
(2022)
Article
Accés obert3D 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
(2020)
Text en actes de congrés
Accés obert3D 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 vehicle detection on an FPGA from LiDAR point clouds
(Association for Computing Machinery (ACM), 2019)
Text en actes de congrés
Accés obertIn 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
(2019)
Text en actes de congrés
Accés obertRecent 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 ... -
A 3D descriptor to detect task-oriented grasping points in clothing
(2016)
Article
Accés obertManipulating 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 bayesian approach to simultaneously recover camera pose and non-rigid shape from monocular images
(2016)
Article
Accés obertIn 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 high performance CRF model for clothes parsing
(Springer, 2014)
Text en actes de congrés
Accés obertIn this paper we tackle the problem of clothing parsing: Our goal is to segment and classify different garments a person is wearing. We frame the problem as the one of inference in a pose-aware Conditional Random Field ... -
A joint model for 2D and 3D pose estimation from a single image
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Text en actes de congrés
Accés restringit per política de l'editorialWe introduce a novel approach to automatically recover 3D human pose from a single image. Most previous work follows a pipelined approach: initially, a set of 2D features such as edges, joints or silhouettes are detected ... -
A scalable, efficient, and accurate solution to non-rigid structure from motion
(2018)
Article
Accés obertMost Non-Rigid Structure from Motion (NRSfM) solutions are based on factorization approaches that allow reconstructing objects parameterized by a sparse set of 3D points. These solutions, however, are low resolution and ... -
Accurate and linear time pose estimation from points and lines
(2016)
Text en actes de congrés
Accés obertThe Perspective-n-Point (PnP) problem seeks to estimate the pose of a calibrated camera from n 3Dto-2D point correspondences. There are situations, though, where PnP solutions are prone to fail because feature point ... -
Active perception of deformable objects using 3D cameras
(Escuela Superior de Ingenieros de la Universidad de Sevilla, 2011)
Text en actes de congrés
Accés obertPerception and manipulation of rigid objects has received a lot of attention, and several solutions have been proposed. In contrast, dealing with deformable objects is a relatively new and challenging task because they ... -
Active testing search for point cloud matching
(Springer, 2013)
Text en actes de congrés
Accés obertWe present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly finds a coarse approximation of the solution by exploring a reduced set of ... -
An adaptable approach to learn realistic legged locomotion without examples
(2022)
Text en actes de congrés
Accés obertLearning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable ... -
Attention deep learning based model for predicting the 3D Human Body Pose using the Robot Human Handover Phases
(2021)
Text en actes de congrés
Accés obertThis work proposes a human motion prediction model for handover operations. We use in this work, the different phases of the handover operation to improve the human motion predictions. Our attention deep learning based ... -
BASS: boundary-aware superpixel segmentation
(IEEE Press, 2016)
Text en actes de congrés
Accés obertWe propose a new superpixel algorithm based on exploiting the boundary information of an image, as objects in images can generally be described by their boundaries. Our proposed approach initially estimates the boundaries ... -
Body size and depth disambiguation in multi-person reconstruction from single images
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertWe address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have ...
