Hybrid Lighting for faster rendering of scenes with many lights

Hybrid Lighting for faster rendering of scenes with many lights There is growing interest in rendering scenes with many lights, where scenes typically contain hundreds to thousands of lights. Each light illuminates geometry within a finite extent called a light volume. A key aspect of performance is determining which lights apply to what geometry, and then applying those lights efficiently. We present a GPU-based approach using spatial data structures, binning lights by depth analytically while also taking advantage of hardware rasterization. This improves light binning performance by 3–6 $$\times $$ × . We also present a GPU memory and cache friendly data structure that takes two passes to build, giving 4–10 $$\times $$ × improved performance when applying lighting and an overall improvement of 1.3–4 $$\times $$ × for total frametime. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Visual Computer Springer Journals

Hybrid Lighting for faster rendering of scenes with many lights

Loading next page...
1
 
/lp/springer_journal/hybrid-lighting-for-faster-rendering-of-scenes-with-many-lights-7vKXbmiQVl
Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Computer Science; Computer Graphics; Computer Science, general; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision
ISSN
0178-2789
eISSN
1432-2315
D.O.I.
10.1007/s00371-018-1535-5
Publisher site
See Article on Publisher Site

Abstract

There is growing interest in rendering scenes with many lights, where scenes typically contain hundreds to thousands of lights. Each light illuminates geometry within a finite extent called a light volume. A key aspect of performance is determining which lights apply to what geometry, and then applying those lights efficiently. We present a GPU-based approach using spatial data structures, binning lights by depth analytically while also taking advantage of hardware rasterization. This improves light binning performance by 3–6 $$\times $$ × . We also present a GPU memory and cache friendly data structure that takes two passes to build, giving 4–10 $$\times $$ × improved performance when applying lighting and an overall improvement of 1.3–4 $$\times $$ × for total frametime.

Journal

The Visual ComputerSpringer Journals

Published: May 2, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off