An information-theoretic approach to active vision

Giuseppe Boccignone, M. Ferraro, T. Caelli
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引用次数: 14

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.
主动视觉的信息论方法
提出了一种基于信息论和统计力学的主动视觉方法。沿着彩色图像的空间-色彩扩散测量的熵产生密度用于构建图像的显著性图。该地图依次作为动态神经网络的输入,以驱动焦点扫描路径。
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