Zobrazeno 1 - 10
of 731
pro vyhledávání: '"65D18"'
Autor:
Tan, Linlin, Wu, Haishan
Mangroves play a crucial role in maintaining coastal ecosystem health and protecting biodiversity. Therefore, continuous mapping of mangroves is essential for understanding their dynamics. Earth observation imagery typically provides a cost-effective
Externí odkaz:
http://arxiv.org/abs/2411.11918
Given a finite set of points $P$ sampling an unknown smooth surface $\mathcal{M} \subseteq \mathbb{R}^3$, our goal is to triangulate $\mathcal{M}$ based solely on $P$. Assuming $\mathcal{M}$ is a smooth orientable submanifold of codimension 1 in $\ma
Externí odkaz:
http://arxiv.org/abs/2411.10388
Autor:
Santiago, Paulo Roberto Pereira, Chinaglia, Abel Gonçalves, Flanagan, Kira, Bedo, Bruno L. S., Mochida, Ligia Yumi, Aceros, Juan, Bononi, Aline, Cesar, Guilherme Manna
Human movement analysis is crucial in health and sports biomechanics for understanding physical performance, guiding rehabilitation, and preventing injuries. However, existing tools are often proprietary, expensive, and function as "black boxes", lim
Externí odkaz:
http://arxiv.org/abs/2410.07238
Inconsistent responses of X-ray detector elements lead to stripe artifacts in the sinogram data, which manifest as ring artifacts in the reconstructed CT images, severely degrading image quality. This paper proposes a method for correcting stripe art
Externí odkaz:
http://arxiv.org/abs/2409.15731
Autor:
Laske, Olivia, Ziegelmeier, Lori
Publikováno v:
LIPIcs 293 (2024) 91:1-91:7
Image triangulation, the practice of decomposing images into triangles, deliberately employs simplification to create an abstracted representation. While triangulating an image is a relatively simple process, difficulties arise when determining which
Externí odkaz:
http://arxiv.org/abs/2408.16112
Autor:
S, Kamal Basha, Nambiar, Athira
Acoustic sonar imaging systems are widely used for underwater surveillance in both civilian and military sectors. However, acquiring high-quality sonar datasets for training Artificial Intelligence (AI) models confronts challenges such as limited dat
Externí odkaz:
http://arxiv.org/abs/2408.12833
When using exploratory visual analysis to examine multivariate hierarchical data, users often need to query data to narrow down the scope of analysis. However, formulating effective query expressions remains a challenge for multivariate hierarchical
Externí odkaz:
http://arxiv.org/abs/2408.06601
Autor:
Li, Yanliang, Chen, Jieyang
Publikováno v:
2024 IEEE 20th International Conference on e-Science (e-Science)
Data visualization through isosurface generation is critical in various scientific fields, including computational fluid dynamics, medical imaging, and geophysics. However, the high cost of data sharing between simulation sources and visualization re
Externí odkaz:
http://arxiv.org/abs/2408.05462
Hierarchical matrix computations have attracted significant attention in the science and engineering community as exploiting data-sparse structures can significantly reduce the computational complexity of many important kernels. One particularly popu
Externí odkaz:
http://arxiv.org/abs/2407.21637
Isovolumetric Energy Minimization for Ball-Shaped Volume-Preserving Parameterizations of 3-Manifolds
A volume-preserving parameterization is a bijective mapping that maps a 3-manifold onto a specified canonical domain that preserves the local volume. This paper formulates the computation of ball-shaped volume-preserving parameterizations as an isovo
Externí odkaz:
http://arxiv.org/abs/2407.19272