An approach to active vision based on information theory and statistical mechanics is presented. Density of entropy production measured along a spatio-chromatic diffusion of a colour image is used to build a conspicuity map of the image. The map is successively given as input to a dynamic neural network in order to drive a focus-of-attention scanpath.
An information-theoretic approach to active vision / G. Boccignone, M. Ferraro, T. Caelli - In: Image Analysis and Processing, 2001. Proceedings. 11th International Conference on / [a cura di] E. Ardizzone, V. DiGesu. - [s.l] : IEEE, 2001. - ISBN 076951183X. - pp. 340-345 (( Intervento presentato al 11. convegno International Conference on Image Analysis and Processing tenutosi a Palermo nel 2001 [10.1109/ICIAP.2001.957032].
An information-theoretic approach to active vision
G. BoccignonePrimo
;
2001
Abstract
An approach to active vision based on information theory and statistical mechanics is presented. Density of entropy production measured along a spatio-chromatic diffusion of a colour image is used to build a conspicuity map of the image. The map is successively given as input to a dynamic neural network in order to drive a focus-of-attention scanpath.
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