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Computer Graphics Forum
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2025
Data sources: DBLP
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Inexpensive Reconstruction and Rendering of Realistic Roadside Landscapes

Authors: Andújar Gran, Carlos Antonio; Chica Calaf, Antonio; Vico Moya, Miguel Ángel; Moya Santos, Sergio; Brunet Crosa, Pere;

Inexpensive Reconstruction and Rendering of Realistic Roadside Landscapes

Abstract

AbstractIn this paper, we present an inexpensive approach to create highly detailed reconstructions of the landscape surrounding a road. Our method is based on a space‐efficient semi‐procedural representation of the terrain and vegetation supporting high‐quality real‐time rendering not only for aerial views but also at road level. We can integrate photographs along selected road stretches. We merge the point clouds extracted from these photographs with a low‐resolution digital terrain model through a novel algorithm which is robust against noise and missing data. We pre‐compute plausible locations for trees through an algorithm which takes into account perceptual cues. At runtime we render the reconstructed terrain along with plants generated procedurally according to pre‐computed parameters. Our rendering algorithm ensures visual consistency with aerial imagery and thus it can be integrated seamlessly with current virtual globes.

Country
Spain
Keywords

Infografia tridimensional, :Informàtica::Infografia [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Informàtica::Infografia, Rendering, Three dimensional imaging, Image reconstruction, Real-time rendering, Rendering (Computer graphics), 3D, Three-Dimensional graphics and realism

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
14
Average
Average
Top 10%
49
156
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bronze