Object discovery on RGB-D data via salient object proposals
Li, Wanyi; Wang, Peng; Qiao, Hong; Fan, Naiji; Zhou, Hai; Jing, Feng; Li, WY
2015
Conference NameChinese Automation Congress (CAC)
Source Publication2015 Chinese Automation Congress (CAC)
Conference DateNOV 27-29, 2015
Conference PlaceWuhan, PEOPLES R CHINA
AbstractThis 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 objectproposals 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 objectproposals thus objects are discovered. Experiments on a dataset of object discovery demonstrate the effectiveness of the proposed method.
KeywordObject Discovery Saliency Object Proposals Rgbd Data
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12849
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Corresponding AuthorLi, WY
Recommended Citation
GB/T 7714
Li, Wanyi,Wang, Peng,Qiao, Hong,et al. Object discovery on RGB-D data via salient object proposals[C],2015.
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