VTK

The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing and visualization. VTK consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python. Kitware, whose team created and continues to extend the toolkit, offers professional support and consulting services for VTK. VTK supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk. VTK is cross-platform and runs on Linux, Windows, Mac and Unix platforms.


References in zbMATH (referenced in 90 articles )

Showing results 1 to 20 of 90.
Sorted by year (citations)

1 2 3 4 5 next

  1. Markus Frings, Norbert Hosters, Corinna Müller, Max Spahn, Christoph Susen, Konstantin Key, Stefanie Elgeti: SplineLib: A Modern Multi-Purpose C++ Spline Library (2020) arXiv
  2. Tobias Stål, Anya M. Reading: A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing (2020) not zbMATH
  3. C. Bane Sullivan; Alexander A. Kaszynski: PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK) (2019) not zbMATH
  4. Cimrman, Robert; Lukeš, Vladimír; Rohan, Eduard: Multiscale finite element calculations in Python using sfepy (2019)
  5. Henrik A. Kjeldsberg; Aslak W. Bergersen; KristianValen-Sendstad: morphMan: Automated manipulation of vasculargeometries (2019) not zbMATH
  6. Leavy, R. B.; Guilkey, J. E.; Phung, B. R.; Spear, A. D.; Brannon, R. M.: A convected-particle tetrahedron interpolation technique in the material-point method for the mesoscale modeling of ceramics (2019)
  7. Matthieu Ancellin; Frédéric Dias: Capytaine: a Python-based linear potential flow solver (2019) not zbMATH
  8. Romarowski, R. M.; Faggiano, E.; Conti, M.; Reali, A.; Morganti, S.; Auricchio, F.: A novel computational framework to predict patient-specific hemodynamics after TEVAR: integration of structural and fluid-dynamics analysis by image elaboration (2019)
  9. Adrian R.G. Harwood, Joseph O’Connor, Jonathan Sanchez Muñoz, Marta Camps Santasmasas, Alistair J. Revell: LUMA: A many-core, Fluid–Structure Interaction solver based on the Lattice-Boltzmann Method (2018) not zbMATH
  10. Badia, Santiago; Martín, Alberto F.; Principe, Javier: \textttFEMPAR: an object-oriented parallel finite element framework (2018)
  11. Christoforou, Emmanouil; Mantzaflaris, Angelos; Mourrain, Bernard; Wintz, Julien: Axl, a geometric modeler for semi-algebraic shapes (2018)
  12. Minjie Zhu, Frank McKenna, Michael H. Scott: OpenSeesPy: Python library for the OpenSees finite element framework (2018) not zbMATH
  13. Timofey Mukha: Turbulucid: A Python Package for Post-Processing of Fluid Flow Simulations (2018) arXiv
  14. Borutzky, Wolfgang (ed.): Bond graphs for modelling, control and fault diagnosis of engineering systems (2017)
  15. Pozo, Jose M.; Geers, Arjan J.; Villa-Uriol, Maria-Cruz; Frangi, Alejandro F.: Flow complexity in open systems: interlacing complexity index based on mutual information (2017)
  16. Shivashankar, Nithin; Natarajan, Vijay: Efficient software for programmable visual analysis using Morse-Smale complexes (2017)
  17. Abdelsamie, Abouelmagd; Fru, Gordon; Oster, Timo; Dietzsch, Felix; Janiga, Gábor; Thévenin, Dominique: Towards direct numerical simulations of low-Mach number turbulent reacting and two-phase flows using immersed boundaries (2016)
  18. Ahmad Hosney Awad Eid: Optimized Automatic Code Generation for Geometric Algebra Based Algorithms with Ray Tracing Application (2016) arXiv
  19. Ancel, Alexandre; Fortin, Alexandre; Garnotel, Simon; Miraucourt, Olivia; Tarabay, Ranine: PHANTOM project: development and validation of the pipeline from MRA acquisition to MRA simulations (2016)
  20. Augustin, Christoph M.; Neic, Aurel; Liebmann, Manfred; Prassl, Anton J.; Niederer, Steven A.; Haase, Gundolf; Plank, Gernot: Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation (2016)

1 2 3 4 5 next