Depth Information Fused Computational Model of Visual Attention
Zheng Han-yuan · Jisuanji gongcheng · 2010
The Itti model has a limitation on choosing features.Inspired by the visual attention results in the psychology,this paper proposes a computational model of visual attention.Based on the segment-based stereo matching which using belief propagation and a self-adapting dissimilarity measure,the depth information is computed.Intensity,color,orientation and depth information are deployed and create the saliency map.The saliency map is deployed to the FOA through inhibition of return and WTA mechanism.Experimental results show the model effectively reflects the influence of stereo vision to attention,and the computational result is more consistent with the human vision.