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Andreas Keil

2 accepted papers

2016

Predicting visual attention using gamma kernels

ICASSP 2016accepted

Saliency measures are a popular way to predict visual attention. However, saliency is normally tested on sets of single resolution images that are unlike what the human vision system sees. We propose a new saliency measure based on convolving images with 2D gamma kernels which function as a comparis…

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