A Novel Computational Model for Visual Attention
نویسندگان
چکیده
A new computational model for selective visual attention is proposed in this paper. This model simulates the depth-first and resolution-varying visual searching mechanism of human visual system. Firstly, visual saliency of each part is computed at the coarsest resolution. According to the visual saliency, the most salient region is selected. Then the inner details of the selected region are analyzed at a finer resolution. This process is done iteratively until every salient region and its inner has been processed under different resolutions respectively. The proposed model has been tested on many natural images. Experiment results and analysis are presented in this paper. It is showed that the proposed model is valid.
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تاریخ انتشار 2010