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Lagrangian Texture Advection: Preserving both Spectrum and Velocity Field
- Source :
- IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2011, 17 (11), pp.1612-1623. ⟨10.1109/TVCG.2010.263⟩, IEEE Transactions on Visualization and Computer Graphics, 2011, 17 (11), pp.1612-1623. ⟨10.1109/TVCG.2010.263⟩
- Publication Year :
- 2010
-
Abstract
- International audience; Texturing an animated fluid is a useful way to augment the visual complexity of pictures without increasing the simulation time. But texturing flowing fluids is a complex issue, as it creates conflicting requirements: we want to keep the key texture properties (features, spectrum) while advecting the texture with the underlying flow - which distorts it. In this paper, we present a new, Lagrangian, method for advecting textures: the advected texture is computed only locally and follows the velocity field at each pixel. The texture retains its local properties, including its Fourier spectrum, even though it is accurately advected. Due to its Lagrangian nature, our algorithm can perform on very large, potentially infinite scenes in real time. Our experiments show that it is well suited for a wide range of input textures, including, but not limited to, noise textures.
- Subjects :
- Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Computer graphics
Physics::Fluid Dynamics
Image texture
Texture filtering
0202 electrical engineering, electronic engineering, information engineering
Computer Graphics
Computer vision
Texture advection
Statistical physics
Texture
ComputingMethodologies_COMPUTERGRAPHICS
Pixel
ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.7: Three-Dimensional Graphics and Realism/I.3.7.1: Color, shading, shadowing, and texture
business.industry
Texture (cosmology)
Lagrangian methods
020207 software engineering
Animation
Computer Graphics and Computer-Aided Design
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Visualization
Noise
Computer Science::Graphics
Particles
Computer Science::Computer Vision and Pattern Recognition
Signal Processing
020201 artificial intelligence & image processing
Vector field
Computer Vision and Pattern Recognition
Artificial intelligence
business
Software
Subjects
Details
- ISSN :
- 19410506 and 10772626
- Volume :
- 17
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on visualization and computer graphics
- Accession number :
- edsair.doi.dedup.....c478c3241684b2814f8daf8a32c25875