Pàgina inicial del RECERCAT
>
Universitat Politècnica de Catalunya
>
Documents de recerca
>
Visualitza document
Per accedir als documents amb el text complet, si us plau, seguiu el següent enllaç: http://hdl.handle.net/2117/129810
| dc.contributor | Institut de Robòtica i Informàtica Industrial |
|---|---|
| dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| dc.contributor | Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents |
| dc.contributor | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
| dc.contributor.author | Pumarola Peris, Albert |
| dc.contributor.author | Agudo Martínez, Antonio |
| dc.contributor.author | Porzi, Lorenzo |
| dc.contributor.author | Sanfeliu Cortés, Alberto |
| dc.contributor.author | Lepetit, Vincent |
| dc.contributor.author | Moreno-Noguer, Francesc |
| dc.date | 2018 |
| dc.identifier.citation | Pumarola, A. [et al.]. Geometry-aware network for non-rigid shape prediction from a single view. A: IEEE Conference on Computer Vision and Pattern Recognition. "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 4681-4690. |
| dc.identifier.citation | 10.1109/CVPR.2018.00492 |
| dc.identifier.uri | http://hdl.handle.net/2117/129810 |
| dc.description.abstract | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
| dc.description.abstract | We propose a method for predicting the 3D shape of a deformable surface from a single view. By contrast with previous approaches, we do not need a pre-registered template of the surface, and our method is robust to the lack of texture and partial occlusions. At the core of our approach is a {it geometry-aware} deep architecture that tackles the problem as usually done in analytic solutions: first perform 2D detection of the mesh and then estimate a 3D shape that is geometrically consistent with the image. We train this architecture in an end-to-end manner using a large dataset of synthetic renderings of shapes under different levels of deformation, material properties, textures and lighting conditions. We evaluate our approach on a test split of this dataset and available real benchmarks, consistently improving state-of-the-art solutions with a significantly lower computational time. |
| dc.description.abstract | Peer Reviewed |
| dc.language.iso | eng |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| dc.relation | https://ieeexplore.ieee.org/document/8578590 |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/2PE/644271-AEROARMS |
| dc.relation | info:eu-repo/grantAgreement/ES/1PE/DPI2016-78957-R |
| dc.relation | info:eu-repo/grantAgreement/ES/1PE/MDM2016-0656 |
| dc.relation | info:eu-repo/grantAgreement/2PE/TIN2017-90086-R |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
| dc.rights | info:eu-repo/semantics/openAccess |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject | Àrees temàtiques de la UPC::Informàtica |
| dc.subject | Pattern recognition systems |
| dc.subject | Three-dimensional modeling |
| dc.subject | computer vision |
| dc.subject | optimisation. Author keywords: 3D Reconstruction |
| dc.subject | Reconeixement de formes (Informàtica) |
| dc.subject | Infografia tridimensional |
| dc.title | Geometry-aware network for non-rigid shape prediction from a single view |
| dc.type | info:eu-repo/semantics/submittedVersion |
| dc.type | info:eu-repo/semantics/conferenceObject |
Documents relacionats
Altres documents del mateix autor/a
Pumarola Peris, Albert; Agudo Martínez, Antonio; Martinez, Aleix M.; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc
Pumarola Peris, Albert; Vakhitov, A.; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc
Pumarola Peris, Albert; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc
Serradell, Eduard; Özuysa, Mustafa; Lepetit, Vincent; Fua, Pascal; Moreno-Noguer, Francesc
Peñate Sánchez, Adrián; Porzi, Lorenzo; Moreno-Noguer, Francesc