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Efficient modeling of entangled details for natural scenes
- Source :
- Computer Graphics Forum, Computer Graphics Forum, Wiley, 2016, 35 (7), pp.257-267. ⟨10.1111/cgf.13023⟩
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- Proceedings of Pacific Graphics 2016 (Okinawa); International audience; Digital landscape realism often comes from the multitude of details that are hard to model such as fallen leaves, rock piles orentangled fallen branches. In this article, we present a method for augmenting natural scenes with a huge amount of details suchas grass tufts, stones, leaves or twigs. Our approach takes advantage of the observation that those details can be approximatedby replications of a few similar objects and therefore relies on mass-instancing. We propose an original structure, the GhostTile, that stores a huge number of overlapping candidate objects in a tile, along with a pre-computed collision graph. Detailsare created by traversing the scene with the Ghost Tile and generating instances according to user-defined density fields thatallow to sculpt layers and piles of entangled objects while providing control over their density and distribution.
- Subjects :
- Computer science
02 engineering and technology
GeneralLiterature_MISCELLANEOUS
Molecular graphics
Computer graphics
Vector graphics
Computer graphics (images)
0202 electrical engineering, electronic engineering, information engineering
Computer vision
ComputingMethodologies_COMPUTERGRAPHICS
business.industry
Scientific visualization
020207 software engineering
Computer Graphics and Computer-Aided Design
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Real-time computer graphics
visual_art
visual_art.visual_art_medium
Graph (abstract data type)
020201 artificial intelligence & image processing
Tile
Artificial intelligence
business
2D computer graphics
3D computer graphics
Subjects
Details
- ISSN :
- 01677055 and 14678659
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Computer Graphics Forum
- Accession number :
- edsair.doi.dedup.....488e7f6e1f99f8dd93f55b56fabe2154
- Full Text :
- https://doi.org/10.1111/cgf.13023