@inproceedings{9f67830207814612b496560092c88b57,
title = "Object discovery on RGB-D data via salient object proposals",
abstract = "This paper presents an effective approach for object discovery in which both object proposals and saliency information are exploited. Our algorithm consists of three basic steps. Firstly, a set of object proposals are generated. Secondly, a saliency map is calculated and salient blobs are detected on the calculated saliency map. Finally, a saliency integrated objectness measure is proposed to rank object proposals thus objects are discovered. Experiments on a dataset of object discovery demonstrate the effectiveness of the proposed method.",
keywords = "Object discovery, RGBD data, object proposals, saliency",
author = "Wanyi Li and Peng Wang and Hong Qiao and Naiji Fan and Hai Zhou and Feng Jing",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Chinese Automation Congress, CAC 2015 ; Conference date: 27-11-2015 Through 29-11-2015",
year = "2016",
month = jan,
day = "13",
doi = "10.1109/CAC.2015.7382595",
language = "英语",
series = "Proceedings - 2015 Chinese Automation Congress, CAC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "737--739",
booktitle = "Proceedings - 2015 Chinese Automation Congress, CAC 2015",
}