Results 191 to 200 of about 2,218,762 (336)

Terrain descriptors for landscape synthesis, analysis and simulation

Computer Graphics Forum, EarlyView.
Abstract Synthetic landscape generation is an active research area within Computer Graphics. Algorithms for terrain synthesis and ecosystem simulations often rely on simple descriptors such as slope, light accessibility, and drainage area. Typically, the results are assessed from a perceptual standpoint, focusing primarily on visual plausibility. Other
O. Argudo, E. Guérin, H. Schott, E. Galin   +3 more
wiley   +1 more source

New methods for maximizing the smallest eigenvalue of the grounded Laplacian matrix [PDF]

Ahmad T. Anaqreh, Boglárka G.-Tóth, Tamás Vinkó   +2 more
openalex   +1 more source

Multiphysics Simulation Methods in Computer Graphics

Computer Graphics Forum, EarlyView.
Abstract Physics simulation is a cornerstone of many computer graphics applications, ranging from video games and virtual reality to visual effects and computational design. The number of techniques for physically‐based modeling and animation has thus skyrocketed over the past few decades, facilitating the simulation of a wide variety of materials and ...
Daniel Holz, Stefan Rhys Jeske, Fabian Löschner, Jan Bender, Yin Yang, Sheldon Andrews   +5 more
wiley   +1 more source

When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract In the vast landscape of visualization research, Dimensionality Reduction (DR) and graph analysis are two popular subfields, often essential to most visual data analytics setups. DR aims to create representations to support neighborhood and similarity analysis on complex, large datasets.
F. V. Paulovich, A. Arleo, S. van den Elzen   +2 more
wiley   +1 more source

HyperFLINT: Hypernetwork‐based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization

Computer Graphics Forum, EarlyView.
Abstract We present HyperFLINT (Hypernetwork‐based FLow estimation and temporal INTerpolation), a novel deep learning‐based approach for estimating flow fields, temporally interpolating scalar fields, and facilitating parameter space exploration in spatio‐temporal scientific ensemble data. This work addresses the critical need to explicitly incorporate
Hamid Gadirov, Qi Wu, David Bauer, Kwan‐Liu Ma, Jos B.T.M. Roerdink, Steffen Frey   +5 more
wiley   +1 more source

Advancing Graph Convolution Network with Revised Laplacian Matrix [PDF]

, 2020
Jiahui Wang, Yi Guo, Zhihong Wang, Qifeng Tang, Xinxiu Wen   +4 more
openalex   +1 more source

Fast HARDI Uncertainty Quantification and Visualization with Spherical Sampling

Computer Graphics Forum, EarlyView.
Abstract In this paper, we study uncertainty quantification and visualization of orientation distribution functions (ODF), which corresponds to the diffusion profile of high angular resolution diffusion imaging (HARDI) data. The shape inclusion probability (SIP) function is the state‐of‐the‐art method for capturing the uncertainty of ODF ensembles. The
Tark Patel, Tushar M. Athawale, Timbwaoga A. J. Ouermi, Chris R. Johnson   +3 more
wiley   +1 more source

Khovanov Laplacian and Khovanov Dirac for knots and links. [PDF]

J Phys Complex
Jones B, Wei GW.
europepmc   +1 more source

The tau constant and the discrete Laplacian matrix of a metrized graph [PDF]

, 2011
Zübeyir Çınkır
openalex   +1 more source

On Metric Choice in Dimension Reduction for Fréchet Regression

International Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +1 more source