DocumentCode :
3598562
Title :
Wavelet-based hierarchical surface approximation from height fields
Author :
Lee, Sang-Mook ; Abbott, A. Lynn ; Schmoldt, Daniel L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA
Volume :
1
fYear :
2004
Abstract :
This paper presents a novel hierarchical approach to triangular mesh generation from height fields. A wavelet-based multiresolution analysis technique is used to estimate local shape information at different levels of resolution. Using predefined templates at the coarsest level, the method constructs an initial triangulation in which underlying object shapes are well preserved. Wavelet detail coefficients directly control the selection of appropriate templates, and are then used for subdividing and refining the initial mesh.
Keywords :
image resolution; mesh generation; optimisation; surface fitting; wavelet transforms; height fields; hierarchical surface approximation; initial mesh refining; local shape information estimation; multiresolution analysis technique; optimisation; triangular mesh generation; wavelet coefficients; Energy resolution; Mesh generation; Multiresolution analysis; Shape; Signal resolution; Spatial resolution; Spline; Surface reconstruction; Surface waves; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1315046
Filename :
1315046
Link To Document :
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