@inproceedings{fec2e4cb63f9421987c7a9682aa1d75c,
title = "Saliency detection for RGBD image using optimization",
abstract = "Saliency detection in images attracts much research attention for its usage in numerous multimedia applications. In this paper, we propose a saliency detection method based on optimization for RGBD images. With RGBD images, our method utilizes the depth channel to enhance the identification of background and foreground regions. We firstly generate new depth image by using non-linear transformation and outstand object region. Then, we introduce saliency optimization framework to integrate the depth cue and other low-level cues to obtain the final saliency map. The experimental results demonstrate that our method performs better in saliency detection for RGBD Images.",
keywords = "Optimization, RGBD image, Saliency Detection",
author = "Zhengchao Lei and Weiyan Chai and Sanyuan Zhao and Hongmei Song and Fengxia Li",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 12th International Conference on Computer Science and Education, ICCSE 2017 ; Conference date: 22-08-2017 Through 25-08-2017",
year = "2017",
month = oct,
day = "26",
doi = "10.1109/ICCSE.2017.8085532",
language = "English",
series = "ICCSE 2017 - 12th International Conference on Computer Science and Education",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "440--443",
booktitle = "ICCSE 2017 - 12th International Conference on Computer Science and Education",
address = "United States",
}