DocumentCode :
3063947
Title :
Representation of range data with B-spline surface patches
Author :
Liao, Chia-Wei ; Medioni, Gérard
Author_Institution :
Inst. for Robotics & Intelligent Systm., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
745
Lastpage :
748
Abstract :
Presents an implementation of deformable models for approximation of 3-D surfaces. It is an extension of work on B-snakes (Menet, Saint-Marc, and Gerard (1990), which approximate curves using B-splines. The user provides an initial simple surface, such as a cylinder or a plane, which is subject to internal forces and external forces which attracts it toward features. The problem is cast in terms of energy minimization, and is solved iteratively. The authors choice of basis functions leads to reasonable complexity and good numerical stability. The authors give results on real range images to illustrate the applicability of their approach. The advantages of this approach are that it provides a compact representation of the approximated data, it gives a C1 continuous analytical description of the data, which allows computation of differential properties, and lends itself to applications such as non-rigid motion tacking and object recognition
Keywords :
iterative methods; splines (mathematics); surface fitting; 3-D surfaces; B-snakes; B-spline surface patches; C1 continuous analytical description; deformable models; energy minimization; nonrigid motion tracking; numerical stability; object recognition; range data; surface fitting; Deformable models; Image motion analysis; Intelligent robots; Intelligent systems; Manufacturing automation; Shape control; Solids; Spline; Surface fitting; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.202094
Filename :
202094
Link To Document :
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