Figure 6
From: A neural computational model for bottom-up attention with invariant and overcomplete representation
Detection of global salient structure. (a) source images; (b) saliency maps of the attention model with invariant features coding; (c) saliency maps of the attention model without invariant features coding. Results are relatively insensitive to parameters. σ ex is 2% to 5% of the image size (the larger one between the image width and height). σ inh is 4 to 10 times of σ ex , α∈[3, 4]; (d) saliency map of Itti’s attention model; (e) saliency map of a fully connected network; (f) saliency map of a randomly connected network.