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Visual Saliency Models Based on Spectrum Processing
2015
2015 IEEE Winter Conference on Applications of Computer Vision
Some visual saliency models have been proposed to describe how the human visual system perceives and processes visual information. In this paper we describe four frequency domain visual saliency models based on new spectrum processing methods. The four saliency models are the Gamma Corrected Spectrum (GCS) model, the Gamma Corrected Log Spectrum (GCLS) model, the Gaussian Filtered Spectrum (GFS) model, and the Gaussian Filtered Log Spectrum (GFLS) model. A set of saliency map candidates are
doi:10.1109/wacv.2015.135
dblp:conf/wacv/ZhaoD15
fatcat:zmgjddqtj5hlvomaqqkzx6kq5u