中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Active Object Recognition Based on Prior Feature Distribution Table

文献类型:会议论文

作者Sun HB(孙海波)1,3,4; Zhu F(朱枫)1,4; Hao YM(郝颖明)1,4; Fu SF(付双飞)1,4; Kong YZ(孔研自)1,4; Xu CL(徐成龙)3
出版日期2020
会议日期November 27-28, 2020
会议地点Harbin, China
关键词Active object recognition Prior feature distribution table Feature decision tree Next best viewpoint
页码1012-1017
英文摘要In 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.
产权排序1
会议录2020 3rd International Conference on Unmanned Systems (ICUS)
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-8025-0
WOS记录号WOS:000648775600176
源URL[http://ir.sia.cn/handle/173321/27999]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者Sun HB(孙海波)
作者单位1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Shenyang, China
3.Northeastern University, Shenyang, China
4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Sun HB,Zhu F,Hao YM,et al. Active Object Recognition Based on Prior Feature Distribution Table[C]. 见:. Harbin, China. November 27-28, 2020.

入库方式: OAI收割

来源:沈阳自动化研究所

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