Extension of GBVS to 3D media
Visual saliency has been studied extensively in the past decades through perceptual studies using eye tracking technologies and 2D displays. Visual saliency algorithms have been successfully developed to mimick the human ability to quickly spot informative local areas in images. This paper proposes to investigate the extension of visual saliency algorithms to media displayed in 3D. We show first that the Graph-Based Visual Saliency (GBVS) algorithm outperforms all the other common 2D algorithms as well as their 3D extensions. This paper then extends GBVS to 3D and shows that these new 3D GBVS based algorithms outperform other past algorithms.