Concepts and techniques for web-based visualization and processing of massive 3D point clouds with semantics
- 3D point cloud technology facilitates the automated and highly detailed acquisition of real-world environments such as assets, sites, and countries. We present a web-based system for the interactive exploration and inspection of arbitrary large 3D point clouds. Our approach is able to render 3D point clouds with billions of points using spatial data structures and level-of-detail representations. Point-based rendering techniques and post-processing effects are provided to enable task-specific and data-specific filtering, e.g., based on semantics. A set of interaction techniques allows users to collaboratively work with the data (e.g., measuring distances and annotating). Additional value is provided by the system’s ability to display additional, context-providing geodata alongside 3D point clouds and to integrate processing and analysis operations. We have evaluated the presented techniques and in case studies and with different data sets from aerial, mobile, and terrestrial acquisition with up to 120 billion points to show their3D point cloud technology facilitates the automated and highly detailed acquisition of real-world environments such as assets, sites, and countries. We present a web-based system for the interactive exploration and inspection of arbitrary large 3D point clouds. Our approach is able to render 3D point clouds with billions of points using spatial data structures and level-of-detail representations. Point-based rendering techniques and post-processing effects are provided to enable task-specific and data-specific filtering, e.g., based on semantics. A set of interaction techniques allows users to collaboratively work with the data (e.g., measuring distances and annotating). Additional value is provided by the system’s ability to display additional, context-providing geodata alongside 3D point clouds and to integrate processing and analysis operations. We have evaluated the presented techniques and in case studies and with different data sets from aerial, mobile, and terrestrial acquisition with up to 120 billion points to show their practicality and feasibility.…
Verfasserangaben: | Sören DischerORCiDGND, Rico RichterORCiDGND, Jürgen Roland Friedrich DöllnerORCiDGND |
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DOI: | https://doi.org/10.1016/j.gmod.2019.101036 |
ISSN: | 1524-0703 |
ISSN: | 1524-0711 |
Titel des übergeordneten Werks (Englisch): | Graphical Models |
Verlag: | Elsevier |
Verlagsort: | San Diego |
Publikationstyp: | Wissenschaftlicher Artikel |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2019 |
Erscheinungsjahr: | 2019 |
Datum der Freischaltung: | 14.01.2021 |
Freies Schlagwort / Tag: | 3D Point clouds; Point-based rendering; Processing strategies; Web-based rendering |
Band: | 104 |
Seitenanzahl: | 11 |
Organisationseinheiten: | An-Institute / Hasso-Plattner-Institut für Digital Engineering gGmbH |
DDC-Klassifikation: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
Peer Review: | Referiert |