Fast and scalable point cloud indexing

I’m pleased to announce that our paper with the title “A system for fast and scalable point cloud indexing using task parallelism” has been accepted for presentation at the international conference on Smart Tools and Applications in Graphics (STAG). The conference will take place from 12 to 13 November 2020. It will be held fully online. Admission is complimentary, so feel free to register and listen to our talk!

In our paper, we introduce a system for fast, scalable indexing of arbitrarily sized point clouds based on a task-parallel computation model. Points are sorted using Morton indices in order to efficiently distribute sets of related points onto multiple concurrent indexing tasks. To achieve a high degree of parallelism, a hybrid top-down, bottom-up processing strategy is used. Our system achieves a 2.3x to 9x speedup over existing point cloud indexing systems while retaining comparable visual quality of the resulting acceleration structures. It is also fully compatible with widely used data formats in the context of web-based point cloud visualization. We demonstrate the effectiveness of our system in two experiments, evaluating scalability and general performance while processing datasets of up to 52.5 billion points.

We’re looking forward to meeting you at the virtual conference!

Reference

Bormann, P., & Krämer, M. (2020). A system for fast and scalable point cloud indexing using task parallelism. In S. Biasotti, R. Pintus, & S. Berretti (Eds.), Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference, 153–162. https://doi.org/10.2312/stag.20201250
[ | PDF ]

Download

The Eurographics license agreement allows us to share the final version of the paper here.


Profile image of Michel Krämer

Posted by Michel Krämer
on 5 November 2020


Next post

Steep 5.6.0

The new version of my scientific workflow management system highlights automatic retrying of individual services, multiple agents per Steep instance, an optimised scheduling algorithm, and many other new features.

Previous post

Steep 5.4.0 has just been released

The new version of the scientific workflow management system introduces two new features: progress display and the possibility to resubmit workflows. The update also fixes a few minor bugs. It is recommended for all users.

Related posts

Two new cloud-based data processing papers published

My latest research papers about “Capability-based Scheduling of Scientific Workflows in the Cloud” and “Scalable processing of massive geodata in the cloud” are now available.

Steep 5.7.0

I’ve just released a new version of my scientific workflow management system Steep. It introduces live process chain logs, improved VM management, and many other new features. This post summarises all changes.

A cloud-based data processing and visualization pipeline for the fibre roll-out in Germany

Our new paper summarizes the work we’ve done together with Deutsche Telekom during the last six and a half years. We’ve built a cloud-based platform that speeds up the roll-out of fibre broadband Internet.