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Stereoscopic visual saliency prediction based on stereo contrast and stereo focus
Authors
P An
H Cheng
+3 more
Z Liu
Q Wu
J Zhang
Publication date
1 September 2017
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
© 2017, The Author(s). In this paper, we exploit two characteristics of stereoscopic vision: the pop-out effect and the comfort zone. We propose a visual saliency prediction model for stereoscopic images based on stereo contrast and stereo focus models. The stereo contrast model measures stereo saliency based on the color/depth contrast and the pop-out effect. The stereo focus model describes the degree of focus based on monocular focus and the comfort zone. After obtaining the values of the stereo contrast and stereo focus models in parallel, an enhancement based on clustering is performed on both values. We then apply a multi-scale fusion to form the respective maps of the two models. Last, we use a Bayesian integration scheme to integrate the two maps (the stereo contrast and stereo focus maps) into the stereo saliency map. Experimental results on two eye-tracking databases show that our proposed method outperforms the state-of-the-art saliency models
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OPUS - University of Technology Sydney
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oai:opus.lib.uts.edu.au:10453/...
Last time updated on 18/10/2019
Directory of Open Access Journals
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oai:doaj.org/article:9e40db27f...
Last time updated on 04/06/2019