# Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels

**Authors:** Sascha Brandt, Claudius J\"ahn, Matthias Fischer, Friedhelm Meyer auf, der Heide

arXiv: 1904.08225 · 2019-04-18

## TL;DR

This paper introduces a real-time rendering technique for complex 3D scenes using progressive blue surfels, enabling smooth visualization of detailed CAD data in VR with high image quality and efficient GPU data structures.

## Contribution

It presents a novel point-based rendering method that places points on visible surfaces in blue noise distribution, allowing progressive refinement and efficient rendering of highly detailed scenes.

## Key findings

- Scenes with billions of polygons rendered interactively
- High visual quality achieved on standard hardware
- Effective GPU data structure for progressive rendering

## Abstract

We present a technique for rendering highly complex 3D scenes in real-time by generating uniformly distributed points on the scene's visible surfaces. The technique is applicable to a wide range of scene types, like scenes directly based on complex and detailed CAD data consisting of billions of polygons (in contrast to scenes handcrafted solely for visualization). This allows to visualize such scenes smoothly even in VR on a HMD with good image quality, while maintaining the necessary frame-rates. In contrast to other point based rendering methods, we place points in an approximated blue noise distribution only on visible surfaces and store them in a highly GPU efficient data structure, allowing to progressively refine the number of rendered points to maximize the image quality for a given target frame rate. Our evaluation shows that scenes consisting of a high amount of polygons can be rendered with interactive frame rates with good visual quality on standard hardware.

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/1904.08225/full.md

## References

34 references — full list in the complete paper: https://tomesphere.com/paper/1904.08225/full.md

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Source: https://tomesphere.com/paper/1904.08225