⇦ | cloudcompare [main]
Last updated on: 2021-11-28 20:16 [UTC]

Metadata for cloudcompare in main

cloudcompare.desktop - 2.11.3-4 ⚙ amd64 ⚙ arm64 ⚙ i386 ⚙ mips64el ⚙ ppc64el ⚙ s390x

Icon
---
Type: desktop-application
ID: cloudcompare.desktop
Package: cloudcompare
Name:
  C: CloudCompare
Summary:
  C: 3D point cloud and mesh processing software
Description:
  fr: >-
    <p>Il s’agit d’un logiciel de traitement de nuages de points (et de grilles triangulaires) en 3D. Il a été conçu au départ
    pour comparer des nuages de points en 3D (tels que ceux obtenus avec un scanner laser) ou entre un nuage de points et
    une grille triangulaire.</p>

    <p>Il se base sur une structure d’octree spécifique qui permet d’atteindre de grandes performances dans cette fonction
    particulière. Il a aussi été conçu pour traiter d’immenses nuages de points (en général plus de 10 millions de points
    et jusqu’à 120 millions de points avec 2 Go de mémoire).</p>
  C: >-
    <p>This is a 3D point cloud (and triangular mesh) processing software. It has been originally designed to perform comparison
    between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular
    mesh.</p>

    <p>It relies on a specific octree structure that enables great performances in this particular function. It was also meant
    to deal with huge point clouds (typically more than 10 millions points, and up to 120 millions with 2 GB of memory)</p>
  da: >-
    <p>Dette er et 3D point cloud (og triangulær mesh) behandlingsprogram. Det er oprindelig designet til at udføre sammenligning
    mellem to 3D points clouds (såsom dem opnået med en laserskanner) eller mellem en point cloud og en triangulær mesh.</p>

    <p>Programmet afhænger af en specifik octree-struktur, som afhænger af god ydelse i denne bestemte funktion. Den blev
    også lavet til at håndtere store point clouds (typisk mere end 10 millioner punkter, og op til 120 millioner med 2 GB
    hukommelse).</p>
  it: >-
    <p>Questo è un software per elaborare nuvole di punti 3D (e griglie triangolari). È stato originariamente progettato per
    eseguire confronti tra due nuvole di punti 3D (come quelle ottenute con uno scanner laser) o tra una nuvola di punti e
    una griglia triangolare.</p>

    <p>Si basa su una specifica struttura octree che permette prestazioni fantastiche in questa funzione particolare. È stato
    anche pensato per lavorare con nuvole di punti enormi (tipicamente più di 10 milioni di punti e fino a 120 milioni con
    2 GB di memoria).</p>
  en: >-
    <p>This is a 3D point cloud (and triangular mesh) processing software. It has been originally designed to perform comparison
    between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular
    mesh.</p>

    <p>It relies on a specific octree structure that enables great performances in this particular function. It was also meant
    to deal with huge point clouds (typically more than 10 millions points, and up to 120 millions with 2 GB of memory)</p>
Categories:
- Graphics
- 3DGraphics
- Viewer
Keywords:
  C:
  - 3d
  - processing
Icon:
  cached:
  - name: cloudcompare_cloudcompare.png
    width: 64
    height: 64
  stock: cloudcompare
Launchable:
  desktop-id:
  - cloudcompare.desktop

ccviewer.desktop - 2.11.3-4 ⚙ amd64 ⚙ arm64 ⚙ i386 ⚙ mips64el ⚙ ppc64el ⚙ s390x

Icon
---
Type: desktop-application
ID: ccViewer.desktop
Package: cloudcompare
Name:
  C: CloudCompare Viewer
Summary:
  C: 3D point cloud and mesh processing software
Description:
  fr: >-
    <p>Il s’agit d’un logiciel de traitement de nuages de points (et de grilles triangulaires) en 3D. Il a été conçu au départ
    pour comparer des nuages de points en 3D (tels que ceux obtenus avec un scanner laser) ou entre un nuage de points et
    une grille triangulaire.</p>

    <p>Il se base sur une structure d’octree spécifique qui permet d’atteindre de grandes performances dans cette fonction
    particulière. Il a aussi été conçu pour traiter d’immenses nuages de points (en général plus de 10 millions de points
    et jusqu’à 120 millions de points avec 2 Go de mémoire).</p>
  C: >-
    <p>This is a 3D point cloud (and triangular mesh) processing software. It has been originally designed to perform comparison
    between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular
    mesh.</p>

    <p>It relies on a specific octree structure that enables great performances in this particular function. It was also meant
    to deal with huge point clouds (typically more than 10 millions points, and up to 120 millions with 2 GB of memory)</p>
  da: >-
    <p>Dette er et 3D point cloud (og triangulær mesh) behandlingsprogram. Det er oprindelig designet til at udføre sammenligning
    mellem to 3D points clouds (såsom dem opnået med en laserskanner) eller mellem en point cloud og en triangulær mesh.</p>

    <p>Programmet afhænger af en specifik octree-struktur, som afhænger af god ydelse i denne bestemte funktion. Den blev
    også lavet til at håndtere store point clouds (typisk mere end 10 millioner punkter, og op til 120 millioner med 2 GB
    hukommelse).</p>
  it: >-
    <p>Questo è un software per elaborare nuvole di punti 3D (e griglie triangolari). È stato originariamente progettato per
    eseguire confronti tra due nuvole di punti 3D (come quelle ottenute con uno scanner laser) o tra una nuvola di punti e
    una griglia triangolare.</p>

    <p>Si basa su una specifica struttura octree che permette prestazioni fantastiche in questa funzione particolare. È stato
    anche pensato per lavorare con nuvole di punti enormi (tipicamente più di 10 milioni di punti e fino a 120 milioni con
    2 GB di memoria).</p>
  en: >-
    <p>This is a 3D point cloud (and triangular mesh) processing software. It has been originally designed to perform comparison
    between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular
    mesh.</p>

    <p>It relies on a specific octree structure that enables great performances in this particular function. It was also meant
    to deal with huge point clouds (typically more than 10 millions points, and up to 120 millions with 2 GB of memory)</p>
Categories:
- Graphics
- 3DGraphics
- Viewer
Keywords:
  C:
  - 3d
  - viewer
Icon:
  cached:
  - name: cloudcompare_ccViewer.png
    width: 64
    height: 64
  stock: ccViewer
Launchable:
  desktop-id:
  - ccViewer.desktop