ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||6|
|Section||Session 3: Computer|
|Published online||05 September 2017|
A New Depth Saliency Method Based on Selective Difference
Beijing University of Technology, Beijing, China
Stereopsis plays an important role in the human visual system. In this paper, we propose a novel regional contrast based saliency method, which works on depth images based on selective difference. In this work, we measure the saliency of a region based on regional contrast and take depth difference in horizontal direction into consideration. Besides, center prior is used here to refine the initial saliency map. The proposed method can better reflect the influence of depth information on saliency detection, and the results are more in line with human vision.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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