DocumentCode :
1742198
Title :
3D shapes modeling which has hierarchical structure based on B-spline surfaces with non-uniform knots
Author :
Maeda, Makoto ; Kumamaru, Kousuke ; Inoue, Karsuhiro ; Zha, Hongbin
Author_Institution :
Kyushu Inst. of Technol., Iizuka, Japan
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
115
Abstract :
A method for 3D shapes modeling which has hierarchical structure is proposed. For representing 3D surface shapes, 4th order non-uniform rational B-spline functions with controllable knots are employed as the surface model. Consequently, a multiresolution representation technique based on multiresolution wavelet transform can be implemented with the corresponding B-wavelets. The surface models at each resolution level are obtained by performing a decomposition algorithm, after the surface model at the highest level is estimated. In order to estimate the surface model as accurately as possible, a regularization problem is solved by an iterative algorithm. Through several experiments using real data of range images, the effectiveness of the proposed method was confirmed
Keywords :
iterative methods; parameter estimation; solid modelling; splines (mathematics); wavelet transforms; 3D shapes modeling; B-spline function; hierarchical structure; iterative method; parameter estimation; surface model; wavelet transform; Computer vision; Data mining; Iterative algorithms; Multiresolution analysis; Shape control; Spline; Surface reconstruction; Surface topography; Virtual reality; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903498
Filename :
903498
Link To Document :
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