DocumentCode :
2160492
Title :
m-HDAF multiresolution deformable models
Author :
Kakadiaris, I.A. ; Papadakis, Mike ; Shen, L. ; Kouri, D. ; Hoffman, D.
Author_Institution :
Dept. of Comput. Sci., Houston Univ., TX, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
505
Abstract :
In this paper, we construct a new class of deformable models using new orthogonal wavelets, named modified Hermite distributed approximating functional (m-HDAF) wavelets. The scaling functions of this new family are symmetric and the corresponding wavelets optimize their smoothness for a given number of vanishing moments. In addition, we embed these multiresolution deformable models to the physics-based deformable model framework and use them for fitting 2D and 3D data. We have performed a number of experiments with both synthetic and real data with very encouraging results.
Keywords :
computer vision; function approximation; image resolution; optimisation; wavelet transforms; 2D data fitting; 3D data; m-HDAF wavelets; modified Hermite distributed approximating functional; multiresolution deformable models; orthogonal wavelets; smoothness optimization; symmetric scaling functions; vanishing moments; Chemistry; Computer science; Deformable models; Filters; Fitting; Laboratories; Mathematics; Physics; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
Type :
conf
DOI :
10.1109/ICDSP.2002.1028138
Filename :
1028138
Link To Document :
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