Title :
Chapter 6: Multiresolution Representation and Deformation of Very Large Volume Datasets Based on Haar Wavelets
Author :
Xavier, H. ; Sebastien, T.
Author_Institution :
Lab. des Sci. de l´Inf. et des Syst., IUT de Provence, Arles
Abstract :
In a virtual sculpture project, we would like to sculpt in real-time very large 3D objects sampled in volume elements (voxels). The drawback of this kind of representation is the important number of voxels required to represent very large and detailed objects. Consequently, that entails important memory cost and computation time issues. In order to allow real-time performance, we propose in this paper a new multiresolution model that combines octree and wavelet: a 3D object is roughly sampled in an octree, where each leaf containing data is thinly sampled thanks to a 3D Haar wavelet transform.
Keywords :
Haar transforms; image representation; image resolution; octrees; solid modelling; wavelet transforms; Haar wavelet transform; multiresolution representation model; octree; real-time very large 3D object; very large volume dataset deformation; virtual sculpture; volume element; voxel; Context modeling; Costs; Image sampling; Medical simulation; Plasma simulation; Sampling methods; Solid modeling; Spatial resolution; Surgery; Wavelet transforms; 3D wavelets; Geometry and modelling; Levels of detail; Very large volume datasets; Virtual sculpture; Voxels;
Conference_Titel :
Geometric Modeling and Imaging, 2008. GMAI 2008. 3rd International Conference on
Conference_Location :
London
Print_ISBN :
978-0-7695-3270-7
DOI :
10.1109/GMAI.2008.26