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Saliency Detection: A Boolean Map Approach
2013
2013 IEEE International Conference on Computer Vision
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A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized by a set of binary images, which are generated by randomly thresholding the image's color channels. Based on a Gestalt principle of figure-ground segregation, BMS computes saliency maps by analyzing the topological structure of Boolean maps. BMS is simple to implement and efficient to run. Despite its simplicity, BMS consistently achieves state-of-the-art performance compared with ten leading methods on five
doi:10.1109/iccv.2013.26
dblp:conf/iccv/ZhangS13
fatcat:ibjml6c6ovfjrm6qgypmi63z4y