DocumentCode
419534
Title
3D shape reconstruction of template models using genetic algorithms
Author
Fayolle, P.A. ; Rosenberger, C. ; Toinard, C.
Author_Institution
Dept. of Software, Aizu Univ., Fukushima, Japan
Volume
2
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
269
Abstract
We present in this communication a method, which enables to fit a 3D object defined by a functional representation (FRep) to a dataset of 3D points on its surface. A parametric FRep model sketching the point-set is fitted to the point-set. The best fined parameters of the model are obtained by using a genetic algorithm, well known for its interesting properties in non-linear optimization. The efficiency of the approach is illustrated for reverse engineering applications.
Keywords
CAD; genetic algorithms; image reconstruction; reverse engineering; solid modelling; 3D shape reconstruction; functional representation model; genetic algorithm; nonlinear optimization; reverse engineering applications; solid modelling; template model; Design automation; Genetic algorithms; Manufacturing industries; Reverse engineering; Robot vision systems; Shape; Solid modeling; Surface fitting; Surface reconstruction; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334158
Filename
1334158
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