A wide number of algorithms for surface segmentation in range images have been recently proposed characterized by different approaches (edge filling, region growing, ...), different surface types (either for planar or curved surfaces) 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 affect performance. A framework for parameters optimization is proposed based on genetic algorithms. Such algorithms allow a general approach that has been successfully applied on different state-of-the-art segmenters and different range image databases.
Optimal Range Segmentation Parameters Through Genetic Algorithms / L., Cinque; Cucchiara, Rita; S., Levialdi; S., Martinz; G., Pignalberi. - STAMPA. - 1:(2000), pp. 474-477. (Intervento presentato al convegno 15th International Conference on Pattern Recognition (ICPR-2000) tenutosi a BARCELONA, SPAIN nel SEP 03-07, 2000).
Optimal Range Segmentation Parameters Through Genetic Algorithms
CUCCHIARA, Rita;
2000
Abstract
A wide number of algorithms for surface segmentation in range images have been recently proposed characterized by different approaches (edge filling, region growing, ...), different surface types (either for planar or curved surfaces) 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 affect performance. A framework for parameters optimization is proposed based on genetic algorithms. Such algorithms allow a general approach that has been successfully applied on different state-of-the-art segmenters and different range image databases.Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris