Title
Genetic Algorithms for Gielis Surface Recovery from 3D Data Sets
Abstract
In this paper, we apply genetic algorithms to reconstruct Gielis surfaces from 3D data sets. The Levenberg-Marquardt method has been used as a standard for superquadrics recovery and has recently been extended to Gielis surfaces. Unfortunately, the non homogeneity of the Gielis surface parameters requires additional heuristic to determine discrete parameters such as the number of symmetries. Genetic algorithms overcome this issue and provide a more general framework for Gielis surface reconstruction.
Year
DOI
Venue
2007
10.1109/ICIP.2007.4379214
Image Processing, 2007. ICIP 2007. IEEE International Conference
Keywords
Field
DocType
genetic algorithms,image reconstruction,surface reconstruction,3D data sets,Gielis surface reconstruction,Levenberg-Marquardt method,genetic algorithm,superquadrics recovery,Geometric modeling,Gielis surfaces,genetic algorithms,superquadrics,supershapes,surface reconstruction
Iterative reconstruction,Computer vision,Heuristic,Data set,Homogeneity (statistics),Computer science,Superquadrics,Geometric modeling,Artificial intelligence,Surface recovery,Genetic algorithm
Conference
Volume
ISSN
ISBN
2
1522-4880 E-ISBN : 978-1-4244-1437-6
978-1-4244-1437-6
Citations 
PageRank 
References 
8
0.56
5
Authors
4
Name
Order
Citations
PageRank
Youssef Bokhabrine180.56
Yohan D. Fougerolle2327.06
Sebti Foufou338854.58
Frédéric Truchetet412118.97