Fast occlusion-based point cloud exploration.

3D navigation Occlusion Real-time processing

Journal

The Visual computer
ISSN: 0178-2789
Titre abrégé: Vis Comput
Pays: Germany
ID NLM: 101584127

Informations de publication

Date de publication:
2021
Historique:
accepted: 04 07 2021
entrez: 1 11 2021
pubmed: 2 11 2021
medline: 2 11 2021
Statut: ppublish

Résumé

Large-scale unstructured point cloud scenes can be quickly visualized without prior reconstruction by utilizing levels-of-detail structures to load an appropriate subset from out-of-core storage for rendering the current view. However, as soon as we need structures within the point cloud, e.g., for interactions between objects, the construction of state-of-the-art data structures requires The online version supplementary material available at 10.1007/s00371-021-02243-x.

Identifiants

pubmed: 34720293
doi: 10.1007/s00371-021-02243-x
pii: 2243
pmc: PMC8550363
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2769-2781

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

Compliance with Ethical StandardsThe Authors declare that there is no conflict of interest

Références

IEEE Trans Vis Comput Graph. 2006 Sep-Oct;12(5):1077-84
pubmed: 17080837
IEEE Trans Vis Comput Graph. 2007 Nov-Dec;13(6):1320-7
pubmed: 17968080
IEEE Trans Vis Comput Graph. 2016 May;22(5):1555-67
pubmed: 27045911
IEEE Trans Vis Comput Graph. 2013 May;19(5):838-51
pubmed: 22802119
IEEE Trans Vis Comput Graph. 2012 Apr;18(4):634-42
pubmed: 22402691

Auteurs

Stefan Ohrhallinger (S)

TU Wien, Vienna, Austria.

Michael Wimmer (M)

TU Wien, Vienna, Austria.

Classifications MeSH