Browsing by Author "Wang, Yunhai"

Now showing items 1-4 of 4

    • Canis: A High-Level Language for Data-Driven Chart Animations 

      Ge, Tong; Zhao, Yue; Lee, Bongshin; Ren, Donghao; Chen, Baoquan; Wang, Yunhai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In this paper, we introduce Canis, a high-level domain-specific language that enables declarative specifications of data-driven chart animations. By leveraging data-enriched SVG charts, its grammar of animations can be ...

    • Curve Complexity Heuristic KD-trees for Neighborhood-based Exploration of 3D Curves 

      Lu, Yucheng; Cheng, Luyu; Isenberg, Tobias; Fu, Chi-Wing; Chen, Guoning; Liu, Hui; Deussen, Oliver; Wang, Yunhai (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We introduce the curve complexity heuristic (CCH), a KD-tree construction strategy for 3D curves, which enables interactive exploration of neighborhoods in dense and large line datasets. It can be applied to searches of ...

    • Laplace–Beltrami Operator on Point Clouds Based on Anisotropic Voronoi Diagram 

      Qin, Hongxing; Chen, Yi; Wang, Yunhai; Hong, Xiaoyang; Yin, Kangkang; Huang, Hui (© 2018 The Eurographics Association and John Wiley & Sons Ltd., 2018)
      The symmetrizable and converged Laplace–Beltrami operator () is an indispensable tool for spectral geometrical analysis of point clouds. The , introduced by Liu et al. [LPG12] is guaranteed to be symmetrizable, but its ...

    • Manhattan-world Urban Building Reconstruction by Fitting Cubes 

      He, Zhenbang; Wang, Yunhai; Cheng, Zhanglin (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      The Manhattan-world building is a kind of dominant scene in urban areas. Many existing methods for reconstructing such scenes are either vulnerable to noisy and incomplete data or suffer from high computational complexity. ...