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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
3D Shape Reconstruction of Template Models Using Genetic Algorithms
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
P.-A. Fayolle, University of Aizu, Japan
C. Rosenberger, Universit? d'Orl?ans, France
C. Toinard, Universit? d'Orl?ans, France
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 fitted 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.
Index Terms:
3D reconstruction, reverse engineering, genetic algorithm, CAD, 3D visualization
Citation:
P.-A. Fayolle, C. Rosenberger, C. Toinard, "3D Shape Reconstruction of Template Models Using Genetic Algorithms," icpr, vol. 2, pp.269-272, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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