6 papers
SNAP-tFDP: Massively Scalable Graph Layouts via Sparse Negative Sampling
Xin Chen, Shuowei Hou, Yifan Wang +5
Force-Directed Placement (FDP) is a widely used approach for network visualization, yet scaling it to massive graphs while preserving clear community structures remains a major com…
Structuring Line Ensembles with Path-Integrated Fidelity and Structural Inconsistency Fields
Yumeng Xue, Patrick Paetzold, Bin Chen +3
When visualizing large-scale line ensembles, trajectory continuity and visual scalability are inherently antagonistic. Trajectory-centric renderings preserve path information but r…
GLidE-SLAM: GL-Accelerated Indirect-Direct Embedded SLAM
Carlos A. Pinheiro de Sousa, Heiko Hamann, Oliver Deussen
With the growing demand for robotics, autonomous drones, and wearable extended reality systems, the deployment of Visual SLAM on embedded devices remains challenging. Tracking must…
Enhancing Line Density Plots with Outlier Control and Bin-based Illumination
Yumeng Xue, Bin Chen, Patrick Paetzold +3
Density plots effectively summarize large numbers of points, which would otherwise lead to severe overplotting in, for example, a scatter plot. However, when applied to line-based…
Neighborhood-Preserving Voronoi Treemaps
Patrick Paetzold, Rebecca Kehlbeck, Yumeng Xue +3
Voronoi treemaps are used to depict nodes and their hierarchical relationships simultaneously. However, in addition to the hierarchical structure, data attributes, such as co-occur…
Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications
Carlos Augusto Pinheiro de Sousa, Heiko Hamann, Oliver Deussen
SLAM is a foundational technique with broad applications in robotics and AR/VR. SLAM simulations evaluate new concepts, but testing on resource-constrained devices, such as VR HMDs…