Point Cloud Volume Estimation

Point Cloud Volume Estimation is a computational method that belongs to the class of volume estimation techniques and specifically involves determining the volumetric extent of a three-dimensional object or region by analyzing a discrete set of spatial points sampled from its surface or interior.

25

Publications

895

Citations

111

Authors

50

Institutions

Publications per year

2017–2026

16

Authors

111

  1. FA
    Fernando Auat Cheein

    Federico Santa María Technical University, Chile

    2 publications · 71 citations

    2

    h-index

  2. TX
    Tao Xu

    Jilin University, China

    1 publications · 11 citations

    1

    h-index

  3. IR
    I. Rychkov

    University of Canterbury, New Zealand

    1 publications · 101 citations

    1

    h-index

  4. CF
    Cedrique Fotsing

    University of Florida, United States

    1 publications · 17 citations

    1

    h-index

  5. DW
    Dong Woo Kim

    Korea Environment Institute, South Korea

    1 publications · 67 citations

    1

    h-index

1–5 of 111

Venues

  1. Automation in Construction

    2 publications · 46 citations

    2

    h-index

  2. Computers and Electronics in Agriculture

    2 publications · 70 citations

    2

    h-index

  3. Journal of Global Optimization

    1 publications · 23 citations

    1

    h-index

  4. Buildings

    1 publications · 27 citations

    1

    h-index

  5. 1

    h-index

1–5