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ABSTRACT
We present a biorthogonal wavelet construction based on Catmull-Clark-style subdivision volumes. Our wavelet transform is the three-dimensional extension of a previously developed construction of subdivision-surface wavelets that was used for multiresolution modeling of large-scale isosurfaces. Subdivision surfaces provide a flexible modeling tool for surfaces of arbitrary topology and for functions defined thereon. Wavelet representations add the ability to compactly represent large-scale geometries at multiple levels of detail. Our wavelet construction based on subdivision volumes extends these concepts to trivariate geometries, such as time-varying surfaces, free-form deformations, and solid models with non-uniform material properties. The domains of the repre-sented trivariate functions are defined by lattices composed of arbitrary polyhedral cells. These are recursively subdivided based on stationary rules converging to piecewise smooth limit-geometries. Sharp features and boundaries, defined by specific polygons, edges, and vertices of a lattice are explicitly represented using modified subdivision rules. Our wavelet transform provides the ability to reverse the subdivision process after a lattice has been re-shaped at a very fine level of detail, for example using an automatic fitting method. During this coarsening process all geometric detail is compactly stored in form of wavelet coefficients from which it can be reconstructed without loss.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 2
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Sungchan Kim , Kunwoo Lee , Taesik Hong , Mincheol Kim , Moonki Jung , Youngjae Song, An integrated approach to realize multi-resolution of B-rep model, Proceedings of the 2005 ACM symposium on Solid and physical modeling, p.153-162, June 13-15, 2005, Cambridge, Massachusetts
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INDEX TERMS
Primary Classification:
E.
Data
E.4
CODING AND INFORMATION THEORY
Subjects:
Data compaction and compression
Additional Classification:
F.
Theory of Computation
F.2
ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY
F.2.1
Numerical Algorithms and Problems
Subjects:
Computation of transforms (e.g., fast Fourier transform)
G.
Mathematics of Computing
G.1
NUMERICAL ANALYSIS
G.1.2
Approximation
Subjects:
Wavelets and fractals;
Approximation of surfaces and contours
General Terms:
Algorithms,
Design,
Performance,
Theory
Keywords:
arbitrary topology,
b-spline wavelets,
geometry compression,
hierarchical b-splines,
multiresolution modeling,
subdivision surfaces,
subdivision volumes
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