Thöny, M, Billeter, M orcid.org/0000-0003-1806-2587 and Pajarola, R (2018) Large-Scale Pixel-Precise Deferred Vector Maps. Computer Graphics Forum, 37 (1). pp. 338-349. ISSN 0167-7055
Abstract
Rendering vector maps is a key challenge for high‐quality geographic visualization systems. In this paper, we present a novel approach to visualize vector maps over detailed terrain models in a pixel‐precise way. Our method proposes a deferred line rendering technique to display vector maps directly in a screen‐space shading stage over the 3D terrain visualization. Due to the absence of traditional geometric polygonal rendering, our algorithm is able to outperform conventional vector map rendering algorithms for geographic information systems, and supports advanced line anti‐aliasing as well as slope distortion correction. Furthermore, our deferred line rendering enables interactively customizable advanced vector styling methods as well as a tool for interactive pixel‐based editing operations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors Computer Graphics Forum © 2017 The Eurographics Association and John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Thöny, M., Billeter, M. and Pajarola, R. (2018), Large‐Scale Pixel‐Precise Deferred Vector Maps. Computer Graphics Forum, 37: 338-349. , which has been published in final form at https://doi.org/10.1111/cgf.13294. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions |
Keywords: | real‐time rendering; rendering; scientific visualization; visualization; I.3.3 [Computer Graphics]: Picture/Image Generation–Line and curve generation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Jan 2021 13:12 |
Last Modified: | 04 Jan 2021 13:12 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/cgf.13294 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169264 |