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Active Object Recognition Based on Prior Feature Distribution Table
Sun HB(孙海波)1,2,3; Zhu F(朱枫)2,3; Hao YM(郝颖明)2,3; Fu SF(付双飞)2,3; Kong YZ(孔研自)2,3; Xu, Chenglong1
Department光电信息技术研究室
Conference Name2020 3rd International Conference on Unmanned Systems (ICUS)
Conference DateNovember 27-28, 2020
Conference PlaceHarbin, China
Source Publication2020 3rd International Conference on Unmanned Systems (ICUS)
PublisherIEEE
Publication PlaceNew York
2020
Pages1012-1017
Indexed ByEI ; CPCI(ISTP)
EI Accession number20210209751087
WOS IDWOS:000648775600176
Contribution Rank1
ISBN978-1-7281-8025-0
KeywordActive object recognition Prior feature distribution table Feature decision tree Next best viewpoint
AbstractIn this paper, an active object recognition (AOR) method based on a prior feature distribution table (PFDT) is proposed. According to the distribution information of predetermined features on each object in the model base, the prior feature distribution table is created. Taking it as input, a feature decision tree (FDT) is constructed for object recognition and viewpoint planning (VP). To determine the next best viewpoint, we transform it into an optimization problem that is solved with the tree dynamic programming algorithm. Experiments show that the proposed method can achieve the object recognition task with the minimum average number of viewpoints.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/27999
Collection光电信息技术研究室
Corresponding AuthorSun HB(孙海波)
Affiliation1.Northeastern University, Shenyang, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
4.University of Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Sun HB,Zhu F,Hao YM,et al. Active Object Recognition Based on Prior Feature Distribution Table[C]. New York:IEEE,2020:1012-1017.
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