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Fabian Denner

dblp:151/3689 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › isosurface extraction
marching cubes
0.412019
Surface Reconstruction from Discrete Indicator Functions · IEEE Trans. Vis. Comput. Graph. 2019
Geometric modeling and processing
surface reconstruction
0.412019
Surface Reconstruction from Discrete Indicator Functions · IEEE Trans. Vis. Comput. Graph. 2019
Geometric modeling and processing › implicit surface
implicit surface modeling
0.112019
Surface Reconstruction from Discrete Indicator Functions · IEEE Trans. Vis. Comput. Graph. 2019

Methods — techniques the papers use, named apart from their topics

second-order interpolation · 0.4least squares · 0.4
YearPublicationVenuePosition
2019 Surface Reconstruction from Discrete Indicator Functions
abstract
This paper introduces a procedure for the calculation of the vertex positions in Marching-Cubes-like surface reconstruction methods, when the surface to reconstruct is characterised by a discrete indicator function. Linear or higher order methods for the vertex interpolation problem require a smooth input function. Therefore, the interpolation methodology to convert a discontinuous indicator function into a triangulated surface is non-trivial. Analytical formulations for this specific vertex interpolation problem have been derived for the 2D case by Manson et al. [Eurographics (2011) 30, 2] and the straightforward application of their method to a 3D case gives satisfactory visual results. A rigorous extension to 3D, however, requires a least-squares problem to be solved for the discrete values of a symmetric neighbourhood. It thus relies on an extra layer of information, and comes at a significantly higher cost. This paper proposes a novel vertex interpolation method which yields second-order-accurate reconstructed surfaces in the general 3D case, without altering the locality of the method. The associated errors are analysed and comparisons are made with linear vertex interpolation and the analytical formulations of Manson et al. [Eurographics (2011) 30, 2].
Fabien Evrard, Fabian Denner, Berend G. M. van Wachem
IEEE Trans. Vis. Comput. Graph.2