Saliency detection for RGBD image using optimization

Zhengchao Lei, Weiyan Chai, Sanyuan Zhao*, Hongmei Song, Fengxia Li

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

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.

源语言英语
主期刊名ICCSE 2017 - 12th International Conference on Computer Science and Education
出版商Institute of Electrical and Electronics Engineers Inc.
440-443
页数4
ISBN(电子版)9781509025084
DOI
出版状态已出版 - 26 10月 2017
活动12th International Conference on Computer Science and Education, ICCSE 2017 - Houston, 美国
期限: 22 8月 201725 8月 2017

出版系列

姓名ICCSE 2017 - 12th International Conference on Computer Science and Education

会议

会议12th International Conference on Computer Science and Education, ICCSE 2017
国家/地区美国
Houston
时期22/08/1725/08/17

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引用此

Lei, Z., Chai, W., Zhao, S., Song, H., & Li, F. (2017). Saliency detection for RGBD image using optimization. 在 ICCSE 2017 - 12th International Conference on Computer Science and Education (页码 440-443). 文章 8085532 (ICCSE 2017 - 12th International Conference on Computer Science and Education). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSE.2017.8085532