1 code implementation • 16 Jan 2024 • Philipp Erler, Lizeth Fuentes, Pedro Hermosilla, Paul Guerrero, Renato Pajarola, Michael Wimmer
3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage, and engineering.
no code implementations • 27 Feb 2021 • Claudio Mura, Renato Pajarola, Konrad Schindler, Niloy Mitra
Thanks to recent advances in data-driven inertial odometry, such minimalistic input data can be acquired from the IMU readings of consumer-level smartphones, which allows for an effortless and scalable mapping of real-world indoor spaces.
1 code implementation • 11 Sep 2018 • Rafael Ballester-Ripoll, Renato Pajarola
Insightful visualization of multidimensional scalar fields, in particular parameter spaces, is key to many fields in computational science and engineering.
2 code implementations • 15 Jun 2018 • Rafael Ballester-Ripoll, Peter Lindstrom, Renato Pajarola
Memory and network bandwidth are decisive bottlenecks when handling high-resolution multidimensional data sets in visualization applications, and they increasingly demand suitable data compression strategies.
Graphics
1 code implementation • 5 Dec 2017 • Rafael Ballester-Ripoll, Enrique G. Paredes, Renato Pajarola
Following up on the success of the analysis of variance (ANOVA) decomposition and the Sobol indices (SI) for global sensitivity analysis, various related quantities of interest have been defined in the literature including the effective and mean dimensions, the dimension distribution, and the Shapley values.
Numerical Analysis 65C20, 15A69, 49Q12
1 code implementation • 1 Dec 2017 • Rafael Ballester-Ripoll, Enrique G. Paredes, Renato Pajarola
We propose the tensor train decomposition (TT) as a unified framework for surrogate modeling and global sensitivity analysis via Sobol indices.
Numerical Analysis 65C20, 15A69, 49Q12