Locally supported tangential vector, n-vector, and tensor fields

Journal Article (2020)
Authors

Ahmad Nasikun (TU Delft - Computer Graphics and Visualisation, Universitas Gadjah Mada)

Christopher Brandt (École Polytechnique Fédérale de Lausanne, TU Delft - Computer Graphics and Visualisation)

K. Hildebrandt (TU Delft - Computer Graphics and Visualisation)

Research Group
Computer Graphics and Visualisation
Copyright
© 2020 A. Nasikun, C. Brandt, K.A. Hildebrandt
To reference this document use:
https://doi.org/10.1111/cgf.13924
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 A. Nasikun, C. Brandt, K.A. Hildebrandt
Related content
Research Group
Computer Graphics and Visualisation
Issue number
2
Volume number
39
Pages (from-to)
203-217
DOI:
https://doi.org/10.1111/cgf.13924
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Abstract

We introduce a construction of subspaces of the spaces of tangential vector, n-vector, and tensor fields on surfaces. The resulting subspaces can be used as the basis of fast approximation algorithms for design and processing problems that involve tangential fields. Important features of our construction are that it is based on a general principle, from which constructions for different types of tangential fields can be derived, and that it is scalable, making it possible to efficiently compute and store large subspace bases for large meshes. Moreover, the construction is adaptive, which allows for controlling the distribution of the degrees of freedom of the subspaces over the surface. We evaluate our construction in several experiments addressing approximation quality, scalability, adaptivity, computation times and memory requirements. Our design choices are justified by comparing our construction to possible alternatives. Finally, we discuss examples of how subspace methods can be used to build interactive tools for tangential field design and processing tasks.

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