Discrete Sibson interpolation

Autor: Bernd Hamann, Sung W. Park, Oliver Kreylos, John D. Owens, Lars Linsen
Rok vydání: 2006
Předmět:
graphics hardware
Theoretical computer science
Computer science
Graphics hardware
Information Storage and Retrieval
Rendering (computer graphics)
Regular grid
User-Computer Interface
Imaging
Three-Dimensional

Engineering
scattered-data interpolation
graphics hardware
volume visualization

Nearest-neighbor interpolation
Image Interpretation
Computer-Assisted

Computer Graphics
ComputingMethodologies_COMPUTERGRAPHICS
scattered data interpolation
Trilinear interpolation
Numerical Analysis
Computer-Assisted

Signal Processing
Computer-Assisted

Image Enhancement
Computational geometry
Computer Graphics and Computer-Aided Design
Data point
Natural neighbor interpolation
Signal Processing
Computer Vision and Pattern Recognition
Voronoi diagram
natural-neighbor interpolation
Algorithm
Algorithms
Software
Interpolation
Zdroj: Park, Sung; Linsen, Lars; Kreylos, Oliver; Owens, John D.; & Hamann, Bernd. (2006). Discrete Sibson Interpolation. IEEE Transactions on Visualization and Computer Graphics, 12. doi: 10.1109/TVCG.2006.27. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/27v9h554
Park, Sung W; Linsen, Lars; Kreylos, Oliver; Owens, John D; & Hamann, Bernd Hamann. (2006). Discrete Sibson interpolation. IEEE Transactions on Visualization and Computer Graphics, 12(2), 243-253. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/88c9892g
ISSN: 1077-2626
DOI: 10.1109/tvcg.2006.27
Popis: Natural-neighbor interpolation methods, such as Sibson's method, are well-known schemes for multivariate data fitting and reconstruction. Despite its many desirable properties, Sibson's method is computationally expensive and difficult to implement, especially when applied to higher-dimensional data. The main reason for both problems is the method's implementation based on a Voronoi diagram of all data points. We describe a discrete approach to evaluating Sibson's interpolant on a regular grid, based solely on finding nearest neighbors and rendering and blending $d$-dimensional spheres. Our approach does not require us to construct an explicit Voronoi diagram, is easily implemented using commodity three-dimensional~graphics hardware, leads to a significant speed increase compared to traditional approaches, and generalizes easily to higher dimensions. For large scattered data sets, we achieve two-dimensional(2D) interpolation at interactive rates and three-dimensional interpolation(3D) with computation times of a few seconds.
Databáze: OpenAIRE