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
fDate :
1/1/1999 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on