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Human saccade is a dynamic process of information pursuit. Based on the principle of information maximization, we propose a computational model to simulate human saccadic scanpaths on natural images. The model integrates three related factors as driven forces to guide eye movements sequentially -reference sensory responses, foveaperiphery resolution discrepancy, and visual working memory. For each eye movement, we compute three multi-band filter response maps as a coherent representation fordoi:10.1109/cvpr.2011.5995423 dblp:conf/cvpr/WangCWJFY11 fatcat:3fsmfcgftfepblnqpla6sz2r7a