Using data indexing for remote visualization of point cloud data. Issue 6 (19th September 2017)

• Record Type: Journal Article
• Authors: Rosen, Paul; Piegl, Les A.
• Is Part Of: Computer-aided design and applications. Volume 14:Issue 6(2017)
• Page Start: 789
• Page End: 795
• Publication Date: 2017-09-19
• Subjects: Point cloud -- visualization -- data indexing -- remote visualization; Computer-aided design -- Congresses; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Congresses; Engineering design -- Periodicals; 620.00420285
• DOI: 10.1080/16864360.2017.1287754
• Languages: English
• ISSNs: 1686-4360

Abstract

ABSTRACT: We present a new approach for accessing and visualizing point-based data in CAD applications. Instead of developing a traditional database around spatial data structures, our approach augments a data indexing engine to enable quick access to data. The primary advantage of an indexing engine is flexibility. The approach enables both range queries for accessing data spatially and resolution queries to access data at appropriate spatial resolutions. Our approach is robust to very large datasets, naturally supporting remote visualization and near-real-time input data streams. We demonstrate our approach on 2 large datasets, one 45M points, the other 53M points. GRAPHICAL ABSTRACT: