Computational model of selective attention for machine vision based on adapted entropy
Yantao Tian, Tao Lian, Da-Chuan Yu, Jie-Wei Xiao · 2005
The selective attention for machine vision can reduce the complexity of calculation. This paper adapted entropy as a measurement to the salience of interested object region and proposed a new computational model of attention selection. Analysis proved that this method simulated the selective attention of human being effectively and was easy for engineering realization. Experiments showed the feasibility and efficiency of the calculation model.