Point Cloud Data Model

The Point Cloud Data Model is a spatial data model that represents three-dimensional physical entities as an unstructured set of discrete points, each with associated geometric coordinates and, optionally, attributes such as color or intensity, distinguished from other spatial models by its explicit, point-wise sampling of continuous surfaces without inherent topological connections.

320

Publications

13.2K

Citations

1.2K

Authors

409

Institutions

Publications per year

2017–2026

223

Authors

1.2K

  1. IB
    Ioannis Brilakis

    University of Cambridge, United Kingdom

    5 publications · 183 citations

    5

    h-index

  2. MG
    Mani Golparvar‐Fard

    University of Illinois Urbana-Champaign, United States

    3 publications · 80 citations

    3

    h-index

  3. FC
    Frédéric Chazal

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 112 citations

    3

    h-index

  4. PŠ
    Primož Škraba

    Stanford University, United States

    3 publications · 112 citations

    3

    h-index

  5. JM
    Juan Moyano

    Universidad de Sevilla, Spain

    3 publications · 315 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. Automation in Construction

    18 publications · 1.1K citations

    16

    h-index

  2. Remote Sensing

    12 publications · 474 citations

    12

    h-index

  3. Sensors

    12 publications · 330 citations

    11

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 6 publications · 134 citations

    6

    h-index

  5. 5

    h-index

1–5