Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-33709-3_8
Title: Depth matters: Influence of depth cues on visual saliency
Authors: Lang, C.
Nguyen, T.V.
Katti, H. 
Yadati, K.
Kankanhalli, M. 
Yan, S. 
Issue Date: 2012
Source: Lang, C.,Nguyen, T.V.,Katti, H.,Yadati, K.,Kankanhalli, M.,Yan, S. (2012). Depth matters: Influence of depth cues on visual saliency. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7573 LNCS (PART 2) : 101-115. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-33709-3_8
Abstract: Most previous studies on visual saliency have only focused on static or dynamic 2D scenes. Since the human visual system has evolved predominantly in natural three dimensional environments, it is important to study whether and how depth information influences visual saliency. In this work, we first collect a large human eye fixation database compiled from a pool of 600 2D-vs-3D image pairs viewed by 80 subjects, where the depth information is directly provided by the Kinect camera and the eye tracking data are captured in both 2D and 3D free-viewing experiments. We then analyze the major discrepancies between 2D and 3D human fixation data of the same scenes, which are further abstracted and modeled as novel depth priors. Finally, we evaluate the performances of state-of-the-art saliency detection models over 3D images, and propose solutions to enhance their performances by integrating the depth priors. © 2012 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/43278
ISBN: 9783642337086
ISSN: 03029743
DOI: 10.1007/978-3-642-33709-3_8
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