Radial Basis Function Reconstruction

Radial Basis Function Reconstruction is a surface reconstruction method that interpolates sparse 3D point cloud data into a continuous implicit surface by means of radial basis functions, distinguished from other reconstruction techniques through its use of distance-based basis functions centered at input sample points.

40

Publications

1.1K

Citations

123

Authors

60

Institutions

Publications per year

2017–2026

12

Authors

123

  1. JS
    Jan S. Hesthaven

    Brown University, United States

    2 publications · 55 citations

    2

    h-index

  2. NZ
    Ning Zhao

    Nanjing University of Aeronautics and Astronautics, China

    2 publications · 59 citations

    2

    h-index

  3. QX
    Qingyu Xiong

    Chongqing University, China

    2 publications · 40 citations

    2

    h-index

  4. VS
    Václav Skala

    University of West Bohemia in Pilsen, Czechia

    2 publications · 54 citations

    2

    h-index

  5. NQ
    Ning Qin

    University of Sheffield, United Kingdom

    1 publications · 46 citations

    1

    h-index

1–5 of 123

Venues

  1. Numerical Algorithms

    2 publications · 60 citations

    2

    h-index

  2. Mathematical Problems in Engineering

    MPE · 2 publications · 40 citations

    2

    h-index

  3. Journal of Scientific Computing

    2 publications · 55 citations

    2

    h-index

  4. Journal of Computational Physics

    2 publications · 80 citations

    2

    h-index

  5. Digital Library (University of West Bohemia)

    Repository · 2 publications · 54 citations

    2

    h-index

1–5