Automation of the volumetric models construction

This data was imported from DBLP:

Authors: Fayolle, P.-A., Pasko, A.A., Kartasheva, E., Rosenberger, C. and Toinard, C.

Editors: Pasko, A.A., Adzhiev, V. and Comninos, P.

http://www.informatik.uni-trier.de/~ley/db/series/lncs/lncs4889.html

Volume: 4889

Pages: 214-238

Publisher: Springer

ISBN: 978-3-540-68441-1

DOI: 10.1007/978-3-540-68443-5_9

This source preferred by Alexander Pasko, Valery Adzhiev and Peter Comninos

This data was imported from Scopus:

Authors: Fayolle, P.A., Pasko, A., Kartasheva, E., Rosenberger, C. and Toinard, C.

Volume: 4889 LNCS

Pages: 214-238

DOI: 10.1007/978-3-540-68443-5_9

The automation of the function-based (FRep) volumetric modeling task is tackled by introducing template parameterized models and a procedure for recovery of constructive models from segmented point-sets. In order to reuse existing models, we propose to parameterize them and to fit the parameters to different point-sets for optimizing and adapting the shape to different objects of the same class of shapes. The automation of the creation of a constructive FRep model is also considered by creating a recovery procedure for a given segmented point-set and a list of corresponding primitives. A genetic algorithm is used to find the best constructive expression for the object with the given set of primitives in the point cloud segmentation and the set of available operations. The proposed approach is illustrated by fitting of different models to point clouds and by the automatic generation of constructive trees from segmented point-sets for real mechanical parts. © 2008 Springer-Verlag Berlin Heidelberg.

The data on this page was last updated at 04:42 on September 24, 2017.