DocumentCode
1456621
Title
Optimal biorthogonal wavelet decomposition of wire-frame meshes using box splines, and its application to the hierarchical coding of 3-D surfaces
Author
Malassiotis, Sotiris ; Strintzis, Michael G.
Author_Institution
Electr. & Comput. Eng. Dept., Thessaloniki Univ., Greece
Volume
8
Issue
1
fYear
1999
fDate
1/1/1999 12:00:00 AM
Firstpage
41
Lastpage
57
Abstract
Optimal mechanisms are determined for the hierarchical decomposition of wire-frame surfaces generated by box splines. A family of box splines with compact support, suitable for the approximation of wire-frames is first defined, generated by arbitrary sampling matrices with integer eigenvalues. For each such box spline, the optimal positioning of the wire-frame nodes is determined for each level of the hierarchical wire-frame decomposition. Criterion of optimality is the minimization of the variance of the error difference between the original surface and its representation at each resolution level. This is needed so as to ensure that the wire mesh produces at each resolution as close a replica of the original surface as possible. Several such combinations of box spline generated meshes and the corresponding optimal node lattice sequences are examined in detail with a view to practical application. Their specific application to the hierarchical coding of three-dimensional (3-D) wire meshes is experimentally evaluated
Keywords
eigenvalues and eigenfunctions; image coding; image representation; image sampling; image sequences; matrix algebra; minimisation; splines (mathematics); transform coding; wavelet transforms; 3D surfaces; box splines; compact support; error difference; hierarchical coding; hierarchical wire-frame decomposition; integer eigenvalues; minimization; optimal biorthogonal wavelet decomposition; optimal node lattice sequences; original surface; sampling matrices; surface representation; wire-frame meshes; wire-frame surfaces; Application software; Computer graphics; Computer vision; Eigenvalues and eigenfunctions; Image coding; Matrix decomposition; Sampling methods; Signal resolution; Surface waves; Wire;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.736684
Filename
736684
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