A Quadratic-Time Algorithm for General Multivariate Polynomial Interpolation

Autor: Hecht, M., Cheeseman, B. L., Hoffmann, K. B., Sbalzarini, I. F.

For $m,n \in \mathbb{N}$, $m\geq 1$ and a given function $f : \mathbb{R}^m\longrightarrow \mathbb{R}$ the polynomial interpolation problem (PIP) is to determine a \emph{generic node set} $P \subseteq \mathbb{R}^m$ and the coefficients of the uniquely

Externí odkaz: http://arxiv.org/abs/1710.10846

Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality

Autor: Hyman, L., Sbalzarini, I. F., Quake, S., Günther, U.

Publikováno v: arXiv: https://arxiv.org/abs/2212.00519
Publication year 2022Programming language: KotlinSystem requirements: Windows 10+, Virtual Reality headsetLicense: MIT LicenseHosted on Github: Link to location

The CellxGene project has enabled access to single-cell data in the scientific community, providing tools for browsed-based no-code analysis of more than 500 annotated datasets. However, single-cell data requires dimensional reduction to visualize, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5347afe974532e4d47a6efe18190d0f
https://www.hzdr.de/publications/Publ-36112-1

Efficient Raycasting of View-Dependent Piecewise Constant Representations of Volumetric Data

Autor: Gupta, A., Günther, U., Incardona, P., Reina, G., Frey, S., Gumhold, S., Sbalzarini, I. F.

Publikováno v: arXiv: https://arxiv.org/abs/2206.08660

We present an efficient raycasting-based rendering algorithm for view-dependent piecewise constant representations of volumetric data. Our algorithm leverages the properties of perspective projection to simplify intersections of rays with the view-de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18badf35cce567fccc28eb83afb0996e
https://www.hzdr.de/publications/Publ-36113-1

Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality

Autor: Günther, U., Harrington, K. I. S., Dachselt, R., Sbalzarini, I. F.

Publikováno v: European Conference on Computer Vision, 23.08.2020, eccv2020.eu, (online)Computer Vision – ECCV 2020 Workshops, Cham: Springer, 978-3-030-66415-2
arXiv preprint: https://arxiv.org/abs/2005.00387

We present Bionic Tracking, a novel method for solving biological cell tracking problems with eye tracking in virtual reality using commodity hardware. Using gaze data, and especially smooth pursuit eye movements, we are able to track cells in time s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ab5f0a637389e3d1f1b016cf5723ee06
https://www.hzdr.de/publications/Publ-30961-2

Energy Landscapes of Atomic Clusters as Black Box Optimization Benchmarks.

Autor: Müller, C. L.¹ christian.mueller@inf.ethz.ch, Sbalzarini, I. F.¹ ivos@mpi-cbj.de

Publikováno v: Evolutionary Computation. Winter2012, Vol. 20 Issue 4, p543-573. 31p. 5 Black and White Photographs, 10 Charts, 7 Graphs.