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Optimal Range Segmentation Parameters through Genetic Algorithms

9 years 7 months ago
Optimal Range Segmentation Parameters through Genetic Algorithms
A wide number of algorithmsfor surjtiacesegmentationin range images have been recentlyproposed characterizedby different approaches (edgefilling, regiongrowing, ...), different su$ace types (eitherfor planar or curved suifaces) and different parameters involved. Optimization of the parameter set is a particularly critical task since the range of parameter variability is often quite large:parameter selection depends on surface type, sensors and the required speed which strongly affectpeqormance. A framework for parameters optimization is proposed based on genetic algorithms. Such algorithms allow a general approach that has been succesfully applied on different state-of-the-art segmenters and different range image databases.
Luigi Cinque, Stefano Levialdi, Gianluca Pignalber
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2000
Where ICPR
Authors Luigi Cinque, Stefano Levialdi, Gianluca Pignalberi, Rita Cucchiara, Stefano Martinz
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