Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Fabien Vivodtzev"'
Publikováno v:
ACM SIGGRAPH 2022 Posters.
Publikováno v:
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Oct 2019, Vancouver, Canada
2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)
LDAV
IEEE Symposium on Large Data Analysis and Visualization, Oct 2019, Vancouver, Canada
2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)
LDAV
International audience; In order to guarantee the performances of complex systems, the CEA is driving large numerical simulations in various fields such as thermomechanics, electromagnetism and aerodynamics. Due to the size of the problems and the us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddcf84dce68163f0a3cad61787356850
https://hal.archives-ouvertes.fr/hal-02321841/file/bridel_ldav19.pdf
https://hal.archives-ouvertes.fr/hal-02321841/file/bridel_ldav19.pdf
This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and rec
Autor:
Isabelle Bertron, Fabien Vivodtzev
Publikováno v:
LDAV
This paper details the conception of a remote and powerful visualization tool intended to be directly used by physicists in order to better understand the physical phenomena in the field of fast dynamics simulations. The goal is to explore large data
Autor:
Fabien Vivodtzev, Thierry Carrard
Publikováno v:
The MIDAS Journal.
In order to guaranty performances of complex systems using numerical simulation, CEA is performing advanced data analysis and scientific visualization with open source software using High Performance Computing (HPC) capability. The diversity of the p
Publikováno v:
Topological and Statistical Methods for Complex Data
Bennett, Janine; Vivodtzev, Fabien; Pascucci, Valerio. Topological and Statistical Methods for Complex Data, Springer, pp.73-91, 2014, Mathematics and Visualization, 978-3-662-44899-1. ⟨10.1007/978-3-662-44900-4_5⟩
Mathematics and Visualization ISBN: 9783662448991
Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
Bennett, Janine; Vivodtzev, Fabien; Pascucci, Valerio. Topological and Statistical Methods for Complex Data, Springer, pp.73-91, 2014, Mathematics and Visualization, 978-3-662-44899-1. ⟨10.1007/978-3-662-44900-4_5⟩
Mathematics and Visualization ISBN: 9783662448991
Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
International audience; A method for interpolating monotone increasing 2D scalar data with a monotone piecewise cubic C$^1$-continuous surface is presented. Monotonicity is a sufficient condition for a function to be free of critical points inside it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f766f0d057b32ed3306a46f20fb8834c
https://inria.hal.science/hal-01059532/document
https://inria.hal.science/hal-01059532/document
Publikováno v:
Topological Methods in Data Analysis and Visualization
Valerio Pascucci and Xavier Tricoche and Hans Hagen and Julien Tierny. Topological Methods in Data Analysis and Visualization, Springer, pp.55-66, 2011, Mathematics and Visualization, 978-3-642-15013-5. ⟨10.1007/978-3-642-15014-2_5⟩
Mathematics and Visualization ISBN: 9783642150135
Valerio Pascucci and Xavier Tricoche and Hans Hagen and Julien Tierny. Topological Methods in Data Analysis and Visualization, Springer, pp.55-66, 2011, Mathematics and Visualization, 978-3-642-15013-5. ⟨10.1007/978-3-642-15014-2_5⟩
Mathematics and Visualization ISBN: 9783642150135
International audience; Interdisciplinary efforts in modeling and simulating phenomena have led to complex multi-physics models involving different physical properties and materials in the same system. Within a 3d domain, substructures of lower dimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a268931a3995f51ec13de23b2df27829
https://hal.inria.fr/inria-00549234/file/TopoInVis09LLNCS.pdf
https://hal.inria.fr/inria-00549234/file/TopoInVis09LLNCS.pdf
Publikováno v:
Mathematics and Visualization ISBN: 3540260668
Scientific Visualization: The Visual Extraction of Knowledge from data
Bonneau, G.-P. and Ertl, T. and Nielson, G. .M. Scientific Visualization: The Visual Extraction of Knowledge from data, Springer, p. 35-48, 2005
Scientific Visualization: The Visual Extraction of Knowledge from data
Bonneau, G.-P. and Ertl, T. and Nielson, G. .M. Scientific Visualization: The Visual Extraction of Knowledge from data, Springer, p. 35-48, 2005
Schloss Dagstuhl, Germany, Octobre 2005; International audience; Brain mapping is a technique used to alleviate the tedious and time-consuming process of annotating brains by mapping existing annotations from brain atlases to individual brains. We in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::104b0dcf50f0963a723eff8155426566
https://doi.org/10.1007/3-540-30790-7_3
https://doi.org/10.1007/3-540-30790-7_3
Autor:
James H Jones, Bernd Hamann, Fabien Vivodtzev, Nina Amenta, Kenneth I. Joy, Lars Linsen, David F. Wiley
Publikováno v:
Vivodtzev, Fabien; Wiley, David F.; Linsen, Lars; Jones, James; Amenta, Nina; Hamann, Bernd; et al.Erbacher, Robert F.; Borner, Katy; Groehn, Matti; & Roberts, Jonathan C.(2006). Automatic Feature-based Surface Mapping for Brain Cortices. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/7v94k7mz
Visualization and Data Analysis
Visualization and Data Analysis
We present a method that maps a complex surface geometry to an equally complicated, similar surface. One main objective of our effort is to develop technology for automatically transferring surface annotations from an atlas brain to a subject brain.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c93b8c845f7480ad9618e7bb1d9c1fa
http://www.escholarship.org/uc/item/7v94k7mz
http://www.escholarship.org/uc/item/7v94k7mz
Publikováno v:
The Visual Computer
The Visual Computer, Springer Verlag, 2005, 21 (8-10), pp.679-688. ⟨10.1007/s00371-005-0334-y⟩
The Visual Computer, 2005, 21 (8-10), pp.679-688. ⟨10.1007/s00371-005-0334-y⟩
The Visual Computer, Springer Verlag, 2005, 21 (8-10), pp.679-688. ⟨10.1007/s00371-005-0334-y⟩
The Visual Computer, 2005, 21 (8-10), pp.679-688. ⟨10.1007/s00371-005-0334-y⟩
International audience; Mesh simplification has received tremendous attention over the past years. Most of the previous works deal with a proper choice of error measures to guide the simplification. Preserving the topological characteristics of the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0dbe1a1ace8c897644e472bb847c643
https://hal.archives-ouvertes.fr/hal-00388681
https://hal.archives-ouvertes.fr/hal-00388681