Zobrazeno 1 - 10
of 228 822
pro vyhledávání: '"level-set"'
Autor:
Saad-Falcon, Alex1 (AUTHOR) alexsaadfalcon@gatech.edu, Howard, Christopher1,2 (AUTHOR), Romberg, Justin1 (AUTHOR), Allen, Kenneth1,2 (AUTHOR)
Publikováno v:
Scientific Reports. 7/19/2024, Vol. 14 Issue 1, p1-13. 13p.
Autor:
Renz, Robert1 (AUTHOR) robert.renz@kit.edu, Albers, Albert1 (AUTHOR)
Publikováno v:
Algorithms. Oct2024, Vol. 17 Issue 10, p460. 20p.
Autor:
Kosta, Majd, Amir, Oded
In this study, we investigate and compare formulations for computing shape derivatives in bi-material level-set optimization with precise modeling of the interface. The level-set function is parameterized using B-splines, whose coordinates serve as d
Externí odkaz:
http://arxiv.org/abs/2410.21532
The objective of active level set estimation for a black-box function is to precisely identify regions where the function values exceed or fall below a specified threshold by iteratively performing function evaluations to gather more information abou
Externí odkaz:
http://arxiv.org/abs/2410.05660
In this paper we use level set-based topology optimisation to design three-dimensional periodic piezoelectric materials with enhanced properties. Our methodology is fully memory-distributed and written in Julia using the package GridapTopOpt. We comp
Externí odkaz:
http://arxiv.org/abs/2410.03148
It is vital to infer a signed distance function (SDF) in multi-view based surface reconstruction. 3D Gaussian splatting (3DGS) provides a novel perspective for volume rendering, and shows advantages in rendering efficiency and quality. Although 3DGS
Externí odkaz:
http://arxiv.org/abs/2410.14189
Autor:
Kuehn, Reimer
We present a solution of the problem of level-set percolation for multivariate Gaussians defined in terms of weighted graph Laplacians on complex networks. It is achieved using a cavity or message passing approach, which allows one to obtain the esse
Externí odkaz:
http://arxiv.org/abs/2410.03681
An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
We present a simple comparative framework for testing and developing uncertainty modeling in uncertain marching cubes implementations. The selection of a model to represent the probability distribution of uncertain values directly influences the memo
Externí odkaz:
http://arxiv.org/abs/2409.08445
We introduce a new level-set shape optimization approach based on polytopic (i.e., polygonal in two and polyhedral in three spatial dimensions) discontinuous Galerkin methods. The approach benefits from the geometric mesh flexibility of polytopic dis
Externí odkaz:
http://arxiv.org/abs/2408.13206