The performance of a visual system is strongly influenced by the information processing that is done in the early vision phase. The need exists to limit the computation on areas of interest to reduce the total amount of data and their redundancy. This paper describes a new method to drive the attention during the analysis of complex scenes. Two new local operators, based on the computation of local moments and symmetries, are combined to drive the selection. Experimental results on real data are also reported. © 1997 Elsevier Science B.V.
Di Gesú, V., Valenti, C., Strinati, L. (1997). Local operators to detect regions of interest. PATTERN RECOGNITION LETTERS, 18(11-13), 1077-1081 [10.1016/S0167-8655(97)00084-6].
Local operators to detect regions of interest
VALENTI, Cesare Fabio;
1997-01-01
Abstract
The performance of a visual system is strongly influenced by the information processing that is done in the early vision phase. The need exists to limit the computation on areas of interest to reduce the total amount of data and their redundancy. This paper describes a new method to drive the attention during the analysis of complex scenes. Two new local operators, based on the computation of local moments and symmetries, are combined to drive the selection. Experimental results on real data are also reported. © 1997 Elsevier Science B.V.
| File | Dimensione | Formato | |
|---|---|---|---|
|
1-s2.0-S0167865597000846-main.pdf
Solo gestori archvio
Dimensione
1.04 MB
Formato
Adobe PDF
|
1.04 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
