Zobrazeno 1 - 10
of 61
pro vyhledávání: '"deformable shape"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:391-407
The classification of deformable protein shapes, based solely on their macromolecular surfaces, is a challenging problem in proteinprotein interaction prediction and protein design. Shape classification is made difficult by the fact that proteins are
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Petrellis Nikos, ZOGAS STAVROS, PANAGIOTIS CHRISTAKOS, MOUSOULIOTIS PANAGIOTIS, GEORGIOS KERAMIDAS, VOROS NIKOLAOS, ANTONOPOULOS CHRISTOS
Shape tracking is based on landmark detection and alignment. Open-source code and pre-trained models are available for an implementation that is based on an ensemble of regression trees. The C++ Deformable Shape Tracking (DEST) implementation of face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30130159bd0b94f5be259e9fc3d687bb
Autor:
Petrellis Nikos, Christakos Panagiotis, Zogas Stavros, Mousouliotis Panagiotis, Keramidas Georgios, Voros Nikolaos, Antonopoulos Christos
In the context of this paper, a shape tracking application based on landmark alignment is transformed to support implementation in Field Programmable Gate Arrays (FPGAs). Towards this direction, several challenges are posed since a) computational int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::8d5ae3a5376c928f97816024f27ec927
https://zenodo.org/record/6281334
https://zenodo.org/record/6281334
Autor:
Petrellis Nikos, Zogas Stavros, Christakos Panagiotis, Keramidas Georgios, Mousouliotis Panagiotis, Voros Nikolaos, Antonopoulos Christos
The 2D facial landmark alignment method, implemented in C++ in the open source libraries DLIB and Deformable Shape Tracking (DEST), is used in several applications such as driver drowsiness detection. The most challenging of these applications requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::5648847056fe60fe14ceefa7250fa129
https://zenodo.org/record/6280031
https://zenodo.org/record/6280031
Autor:
Francesc Moreno-Noguer, Antonio Agudo
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
In this paper, we propose a novel interpretable shape model to encode object nonrigidity. We first use the initial frames of a monocular video to recover a rest shape, used later to compute a dissimilarity measure based on a distance matrix measureme
Publikováno v:
ICRA
ICRA 2020-IEEE International Conference on Robotics and Automation
ICRA 2020-IEEE International Conference on Robotics and Automation, May 2020, Paris, France. pp.1-7
ICRA 2020-IEEE International Conference on Robotics and Automation, May 2020, Paris, France
HAL
2020 IEEE International Conference on Robotics and Automation (ICRA)
ICRA 2020-IEEE International Conference on Robotics and Automation
ICRA 2020-IEEE International Conference on Robotics and Automation, May 2020, Paris, France. pp.1-7
ICRA 2020-IEEE International Conference on Robotics and Automation, May 2020, Paris, France
HAL
2020 IEEE International Conference on Robotics and Automation (ICRA)
International audience; In this paper, we propose the ADVISEd (Active Deformation through VIsual SErvoing) method, a novel model-free deformation servoing method able to deform a soft object towards a desired shape. ADVISEd relies on an online estima
Autor:
Siyuan Chen, Julien Epps
Publikováno v:
Frontiers in ICT, Vol 6 (2019)
The eyelid contour, pupil contour and blink event are important features of eye activity, and their estimation is a crucial research area for emerging wearable camera-based eyewear in a wide range of applications e.g. mental state estimation. Current
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.