TY  - JOUR
A1  - Discher, Sören
A1  - Richter, Rico
A1  - Döllner, Jürgen Roland Friedrich
T1  - Concepts and techniques for web-based visualization and processing of massive 3D point clouds with semantics
T2  - Graphical Models
N2  - 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 their practicality and feasibility.
KW  - 3D Point clouds
KW  - Web-based rendering
KW  - Point-based rendering
KW  - Processing strategies
Y1  - 2019
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/48920
SN  - 1524-0703
SN  - 1524-0711
VL  - 104
PB  - Elsevier
CY  - San Diego
ER  -