Abstract | ||
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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 Bokhabrine | 1 | 8 | 0.56 |
Yohan D. Fougerolle | 2 | 32 | 7.06 |
Sebti Foufou | 3 | 388 | 54.58 |
Frédéric Truchetet | 4 | 121 | 18.97 |